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AWS Certified SAP on AWS Specialty PAS-C01 (PAS-C01) — Questions 301375

1616 questions total · 22pages · All types, answers revealed

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301
MCQmedium

An SAP administrator created the IAM policy shown in the exhibit. When trying to terminate an EC2 instance with ID i-abc123 in us-west-2, the action fails. What is the reason?

A.There is an implicit Deny for all actions not explicitly allowed.
B.The ec2:TerminateInstances action is restricted to instances in us-east-1 only.
C.The policy is missing a condition key to allow termination in us-west-2.
D.The ec2:StartInstances and ec2:StopInstances actions are not granted for the specific instance.
AnswerB

The resource ARN specifies us-east-1, so terminating instances in other regions is denied.

Why this answer

The policy includes a condition that restricts the ec2:TerminateInstances action to the us-east-1 region using the ec2:Region condition key. Since the instance i-abc123 is in us-west-2, the condition is not satisfied, causing the action to fail. AWS IAM policies evaluate conditions before allowing an action, and if the condition is not met, the action is denied.

Exam trap

The trap here is that candidates often overlook the condition key in the policy and assume the action is universally allowed, failing to realize that conditions can restrict actions to specific regions, resources, or other attributes, leading them to incorrectly choose the implicit deny option.

How to eliminate wrong answers

Option A is wrong because an implicit Deny applies only to actions not explicitly allowed, but here the ec2:TerminateInstances action is explicitly allowed with a condition that is not met, resulting in an explicit deny from the condition evaluation, not an implicit deny. Option C is wrong because the policy does not require a condition key to allow termination in us-west-2; rather, the existing condition explicitly restricts termination to us-east-1, and adding a condition key for us-west-2 would not override the current restriction without modifying the condition. Option D is wrong because the ec2:StartInstances and ec2:StopInstances actions are irrelevant to the failure; the issue is specifically with ec2:TerminateInstances, and those actions are not mentioned in the policy or the scenario.

302
MCQmedium

A company is running SAP on AWS and wants to use a custom AMI for SAP application servers. They need to ensure that the AMI is encrypted using AWS KMS. Which step is required to launch encrypted instances from this AMI?

A.Use an AWS Marketplace AMI that is already encrypted.
B.Use the AWS Management Console to modify the AMI to enable encryption.
C.Specify the KMS key ID in the run-instances command.
D.Copy the AMI and specify a KMS key for encryption.
AnswerD

Copying allows encryption of the AMI.

Why this answer

To launch encrypted instances from an unencrypted custom AMI, you must first copy the AMI and specify a KMS key for encryption during the copy process. This creates an encrypted AMI that can then be used to launch encrypted instances. AWS does not allow you to directly encrypt an existing AMI in place; the copy operation is the required mechanism.

Exam trap

The trap here is that candidates confuse encrypting the instance's root volume at launch (option C) with encrypting the AMI itself, not realizing that only a copy operation with a KMS key creates a persistently encrypted AMI.

How to eliminate wrong answers

Option A is wrong because the question specifies using a custom AMI, not an AWS Marketplace AMI, and the requirement is to encrypt a custom AMI, not to use a pre-encrypted one. Option B is wrong because the AWS Management Console does not provide a direct 'modify AMI to enable encryption' action; AMI encryption is only achieved through the copy operation or during instance launch with encryption settings. Option C is wrong because specifying a KMS key ID in the run-instances command only encrypts the root volume of the instance being launched, not the AMI itself; the AMI remains unencrypted, and subsequent launches from that AMI would not be encrypted unless the AMI is first copied with encryption.

303
MCQhard

An SAP system on AWS sends large amounts of batch data via RFC calls between two EC2 instances in the same VPC. The application team reports high network latency. Which configuration change would most effectively reduce latency?

A.Assign Elastic IP addresses to both instances.
B.Enable Elastic Network Adapter (ENA) on both instances.
C.Place both EC2 instances in the same cluster placement group.
D.Use Elastic Fabric Adapter (EFA) for network communication.
AnswerC

A cluster placement group provides low-latency, single-rack, non-blocking 10 Gbps network connectivity between instances, directly addressing the high network latency reported for batch RFC calls. This configuration satisfies the stem’s constraint of both EC2 instances residing in the same VPC, as the group enforces physical proximity within a single Availability Zone, minimising hop count and packet jitter for sustained data flows.

Why this answer

Cluster placement groups provide low-latency, high-throughput network connectivity by placing instances in a single Availability Zone within a logical group, ensuring they are in close physical proximity. For SAP RFC batch data transfer between two EC2 instances in the same VPC, this reduces network hops and latency significantly compared to instances placed in different racks or AZs.

Exam trap

The trap here is that candidates confuse high-throughput features (ENA, EFA) with low-latency features, or assume Elastic IPs reduce network distance, when the key is physical proximity via a cluster placement group.

How to eliminate wrong answers

Option A is wrong because Elastic IP addresses are static public IPv4 addresses that do not reduce latency; they only provide persistent public IPs and can even add overhead if traffic is routed through an internet gateway. Option B is wrong because ENA is a virtual network adapter that enhances throughput and reduces CPU overhead for high-bandwidth workloads, but it does not directly reduce latency between two instances in the same VPC; it is already enabled by default on modern instance types. Option D is wrong because EFA is designed for tightly coupled HPC and MPI workloads using OS-bypass, not for standard TCP/IP-based RFC calls; it requires specialized application support and does not benefit SAP batch data transfers.

304
MCQhard

A media company is migrating its on-premises video processing infrastructure to AWS. The current infrastructure uses a custom application that splits video files into segments, transcodes them using FFmpeg, and assembles the final output. The application runs on a single server with 64 vCPUs and 256 GB RAM. The migration plan is to use AWS Batch with EC2 instances for the transcoding jobs. The video files are stored on an on-premises NAS and will be migrated to Amazon S3. The company needs to minimize latency for file access during migration and reduce the time to transfer initial data. The company has a 1 Gbps AWS Direct Connect connection. The total data volume is 500 TB. The migration window is 30 days. Which approach should the team use to transfer the initial data to S3 with the lowest latency and within the migration window?

A.Use AWS DataSync to transfer data over the Direct Connect connection in multiple concurrent tasks.
B.Use multiple AWS Snowball Edge devices to transfer the data in parallel, then copy from the devices to S3 using the Snowball client.
C.Use a single AWS Snowball Edge device and copy data incrementally.
D.Use S3 Transfer Acceleration to speed up transfers over the internet.
AnswerB

Snowball Edge devices provide physical transport, overcoming bandwidth limitations and ensuring the transfer completes within 30 days.

Why this answer

AWS Snowball Edge devices provide a physical, high-bandwidth transfer method that bypasses network constraints entirely. With 500 TB of data and a 1 Gbps Direct Connect link, the theoretical maximum transfer over the network in 30 days is only ~324 TB (1 Gbps * 30 days * 86400 seconds/day / 8 bits per byte), which is insufficient. Multiple Snowball Edge devices in parallel can transfer the full 500 TB within the migration window without saturating the Direct Connect link, and the Snowball client efficiently copies data to S3 after the devices are returned.

Exam trap

The trap here is that candidates underestimate the bandwidth limitation of a 1 Gbps Direct Connect link over a 30-day window, assuming it can handle 500 TB, while failing to calculate the actual throughput (max ~324 TB) and ignoring that network overhead and contention further reduce effective transfer rates.

How to eliminate wrong answers

Option A is wrong because AWS DataSync over a 1 Gbps Direct Connect connection cannot transfer 500 TB within 30 days; the maximum achievable throughput is ~324 TB, and real-world overhead (protocol, retransmissions) reduces this further, making it impossible to meet the deadline. Option C is wrong because a single AWS Snowball Edge device has a usable storage capacity of up to 80 TB, which is insufficient for 500 TB, and incremental copying would require multiple shipments, exceeding the 30-day window. Option D is wrong because S3 Transfer Acceleration uses internet-based transfers over public endpoints, which would be slower and less reliable than Direct Connect, and it does not address the fundamental bandwidth limitation of 1 Gbps.

305
MCQhard

An SAP system on AWS is configured with a multi-AZ deployment for high availability. During a failover test, the secondary instance does not take over as expected. The administrator checks the AWS Management Console and sees that the Elastic IP address is still attached to the primary instance. What is the most likely cause?

A.The Elastic IP is not reassigned during the failover process
B.The secondary instance's root volume is not attached
C.The security group of the secondary instance blocks incoming traffic
D.The route tables are not updated to point to the secondary instance
AnswerA

The Elastic IP must be moved to the secondary instance to maintain connectivity.

Why this answer

In a typical HA setup, the Elastic IP should be reassigned to the secondary instance during failover. If it remains attached to the primary, the secondary cannot be reached. The root device is not relevant to IP assignment.

Route tables are not per-instance. Security groups allow traffic but do not prevent failover.

306
MCQmedium

An administrator uses AWS Launch Wizard to deploy an SAP S/4HANA system with high availability. After deployment, they notice that only one database instance is created. What is the most likely reason?

A.The deployment encountered an error and only created one instance.
B.The instance class r5.8xlarge is not certified for HANA.
C.The HighAvailability parameter was set to false.
D.The Launch Wizard does not support HA for HANA.
AnswerA

A likely reason is a failure during the HA setup.

Why this answer

High availability for SAP HANA typically requires at least two nodes (primary and secondary). If only one is created, the HA configuration may have failed or the parameter was ignored. The backup retention and instance classes are correct.

307
Multi-Selecteasy

Which TWO steps are required to set up automated backups for an SAP HANA database running on EC2?

Select 2 answers
A.Create an Amazon EBS snapshot of the HANA data volumes
B.Install and configure the SAP HANA Backint agent for Amazon S3
C.Set up a lifecycle policy to transition backups to Amazon S3 Glacier
D.Create an Amazon S3 bucket to store the backup files
E.Enable automatic backups in the HANA Studio
AnswersB, D

Backint agent integrates with AWS to send backups to S3.

Why this answer

The SAP HANA Backint agent for Amazon S3 is a certified integration that allows HANA to send backup data directly to S3 via the Backint API, which is the standard method for automated, HANA-aware backups to object storage. This replaces traditional file-based backups and enables seamless integration with AWS backup services without manual scripting.

Exam trap

The trap here is that candidates confuse EBS snapshots (which are block-level and not HANA-aware) with HANA-consistent backups, or assume that HANA Studio's built-in backup feature alone is sufficient for automated cloud backups without the Backint agent.

308
MCQhard

An SAP administrator is trying to set up an AWS CLI script that queries EC2 instance metadata. The script runs on an EC2 instance with an IAM role attached. The IAM role has the following policy: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "ec2:DescribeInstances", "Resource": "*" } ] } What is the most likely cause of the error?

A.The instance does not have an IAM instance profile associated, or the profile name does not match the role name.
B.The IAM policy does not specify a resource ARN.
C.The IAM role does not have the ec2:DescribeInstances action allowed.
D.The AWS CLI is not configured with the correct region.
AnswerA

If the instance profile is not attached or is misconfigured, the role's permissions are not applied, causing the authorization error.

Why this answer

The most likely cause is that the EC2 instance does not have an IAM instance profile associated, or the profile name does not match the role name. Without a properly attached instance profile, the AWS CLI cannot obtain temporary credentials from the instance metadata service (IMDS), so any API call—including ec2:DescribeInstances—will fail with an access denied or credential error, regardless of the IAM policy being correctly configured.

Exam trap

The trap here is that candidates assume the IAM policy itself is the problem, when in fact the issue is the missing or mismatched instance profile that prevents credential retrieval from the instance metadata service.

How to eliminate wrong answers

Option B is wrong because the ec2:DescribeInstances action supports the wildcard resource ARN ("*") and does not require a specific resource ARN; omitting a resource ARN is not an error. Option C is wrong because the policy explicitly allows ec2:DescribeInstances, so the role does have the required action allowed. Option D is wrong because the AWS CLI region configuration affects which regional endpoint is called, but it does not cause an authentication or authorization failure; the error described is due to missing credentials, not a region mismatch.

309
MCQhard

A company runs SAP HANA on AWS and needs to perform a system copy from production to a test environment. The test environment is in a different AWS account. Which AWS service can be used to securely share the HANA backup files stored in Amazon S3 across accounts?

A.VPC Peering
B.S3 Transfer Acceleration
C.S3 bucket policy
D.AWS Direct Connect
AnswerC

Bucket policies can grant cross-account access to objects.

Why this answer

S3 bucket policies can grant cross-account access to the backup files stored in Amazon S3. By attaching a bucket policy that allows the test account to access the backup objects, the company can securely share the files without needing to make them public. Option A (VPC Peering) is incorrect because it provides network connectivity between VPCs but does not grant access to S3 objects.

Option B (S3 Transfer Acceleration) is incorrect because it only speeds up data transfer, not cross-account access. Option D (AWS Direct Connect) is incorrect because it provides a dedicated network connection but does not handle S3 access control.

310
Multi-Selecteasy

A company is setting up SAP HANA database backups to Amazon S3. Which TWO actions are required to ensure secure and efficient backup operations? (Choose TWO.)

Select 2 answers
A.Create an IAM role for the EC2 instance running SAP HANA with permissions to write to the S3 bucket.
B.Enable S3 Transfer Acceleration on the backup bucket.
C.Enable server-side encryption with AWS KMS for the S3 bucket.
D.Set up an S3 Lifecycle policy to move older backups to Amazon Glacier.
E.Configure a VPC Endpoint for S3 to keep traffic within the AWS network.
AnswersA, E

The instance needs permissions to write backups to S3.

Why this answer

The EC2 instance running SAP HANA must assume an IAM role that grants permissions to write backup files to the S3 bucket. This follows the principle of least privilege and avoids embedding long-term credentials in the instance, which is a security best practice for automated backup operations.

Exam trap

The trap here is that candidates often confuse optional security or cost-saving features (like KMS encryption or Glacier lifecycle policies) with mandatory requirements for secure and efficient backup operations, leading them to select options that are beneficial but not strictly required.

311
Multi-Selectmedium

A company is migrating SAP applications to AWS and needs to ensure that the migration complies with regulatory requirements for data encryption. Which TWO AWS services can be used to encrypt data at rest? (Choose TWO.)

Select 2 answers
A.AWS WAF
B.AWS Certificate Manager (ACM)
C.Amazon EBS encryption
D.AWS CloudHSM
E.AWS Key Management Service (KMS)
AnswersC, E

EBS encryption encrypts volumes at rest.

Why this answer

Amazon EBS encryption provides at-rest encryption for EBS volumes (Option C). AWS KMS (Key Management Service) manages the encryption keys used by EBS encryption and other AWS services (Option E). Options A and D are incorrect: AWS WAF is a web application firewall, not for data encryption; AWS CloudHSM provides hardware security modules for key storage but is not a direct service for encrypting data at rest.

Option B (AWS Certificate Manager) is for SSL/TLS certificates, not data at rest encryption.

312
Multi-Selectmedium

A company runs SAP HANA on AWS and needs to back up the database to Amazon S3. Which TWO AWS services can be used to automate the backup process?

Select 2 answers
A.AWS Lambda
B.AWS Backup
C.AWS CloudFormation
D.AWS CloudTrail
E.Amazon S3 Transfer Acceleration
AnswersA, B

Lambda can run custom backup scripts on a schedule.

Why this answer

AWS Backup can be used to automate backups of SAP HANA databases to S3, providing a managed backup service with scheduling and retention policies. AWS Lambda can run custom scripts to orchestrate backups, for example, using the SAP HANA backup API to back up to S3. Options C, D, and E are incorrect: CloudFormation is for infrastructure provisioning, CloudTrail is for auditing API calls, and S3 Transfer Acceleration is a feature to speed up uploads, not a service for automating backups.

313
MCQmedium

A company is migrating an SAP ERP system to AWS. They plan to use AWS Launch Wizard to deploy the SAP landscape. After running Launch Wizard, the deployment fails with an error indicating that the instance type is not available in the selected Availability Zone. What should the company do to resolve this issue?

A.Relaunch the deployment using a different Availability Zone in the same Region.
B.Create a new VPC with different subnets and rerun Launch Wizard.
C.Modify the AWS CloudFormation template generated by Launch Wizard to specify a different instance type.
D.Request a limit increase for the instance type from AWS Support.
AnswerA

Launch Wizard allows selecting multiple AZs; choose one where the instance type is available.

Why this answer

Launch Wizard allows specifying multiple Availability Zones. By selecting a different AZ where the instance type is available, the deployment can proceed. Modifying the template manually or using CloudFormation directly is not necessary as Launch Wizard provides this option.

314
Multi-Selecteasy

An SAP administrator is troubleshooting a performance issue on an SAP application server. The administrator wants to collect detailed metrics about the EC2 instance's memory usage. Which TWO AWS services can be used to collect memory metrics? (Choose TWO.)

Select 2 answers
A.AWS CloudTrail
B.AWS X-Ray
C.Amazon CloudWatch Agent
D.AWS Systems Manager (Run Command)
E.AWS Config
AnswersC, D

CloudWatch Agent collects memory metrics from EC2 instances.

Why this answer

Amazon CloudWatch Agent (option C) can be installed on EC2 instances to collect memory metrics and send them to CloudWatch. AWS Systems Manager Run Command (option D) can be used to run scripts on the instance to collect memory data and push custom metrics to CloudWatch. AWS CloudTrail (option A) logs API calls, not memory usage.

AWS X-Ray (option B) is for tracing requests, not memory. AWS Config (option E) records configuration changes, not performance metrics.

315
Multi-Selectmedium

An SAP system on AWS uses an Application Load Balancer (ALB) to distribute traffic to multiple EC2 instances. The operations team wants to enable sticky sessions (session affinity) for the ALB. Which TWO steps are required? (Choose TWO.)

Select 2 answers
A.Set the stickiness duration in seconds
B.Configure a proxy protocol policy
C.Enable cross-zone load balancing
D.Create a custom cookie on the application server
E.Enable stickiness on the target group
AnswersA, E

Duration controls how long the session is sticky.

Why this answer

To enable sticky sessions on an ALB, two steps are required: First, enable stickiness (session affinity) at the target group level. Second, set the stickiness duration, which defines how long the session remains sticky. Option A is correct because setting the duration in seconds is a necessary configuration.

Option E is correct because stickiness must be enabled on the target group. Option B (configure proxy protocol policy) is not related to stickiness; it is used to preserve client IP information. Option C (enable cross-zone load balancing) distributes traffic across zones but does not affect stickiness.

Option D (create a custom cookie on the application server) is not required because the ALB can generate its own cookie (AWSALB) when stickiness is enabled on the target group.

316
MCQmedium

A company runs a critical SAP HANA database on an Amazon EC2 instance. The operations team receives an alert that the instance's EBS-optimized throughput is consistently exceeding the baseline performance of the gp2 volume. Which action should the team take to resolve the performance issue without downtime?

A.Enable EBS optimization on the EC2 instance.
B.Increase the volume size to improve baseline IOPS.
C.Modify the volume type to gp3 and adjust the throughput setting.
D.Stop the EC2 instance and increase the volume size.
AnswerC

Modifying the volume type to gp3 allows you to configure the desired throughput and IOPS independently, and this change can be applied to a running instance without downtime, directly solving the throughput issue.

Why this answer

Modifying the volume type from gp2 to gp3 allows you to independently adjust IOPS and throughput settings without downtime, directly addressing the performance issue. Option A is incorrect because EBS optimization is already enabled on the instance by default for certain instance types, and the issue is with volume performance, not instance optimization. Option B is incorrect because increasing the volume size to improve baseline IOPS does not address the specific throughput issue and may not be sufficient, and it also requires resizing the file system, which can cause downtime.

Option D is incorrect because stopping the instance to increase volume size introduces downtime, and it is unnecessary when a no-downtime solution like gp3 exists.

317
MCQmedium

A retail company runs its SAP ERP system on AWS. The system includes an SAP HANA database on an r5.8xlarge instance with 4TB of storage using a single EBS io1 volume with 16000 provisioned IOPS. The application experiences periodic slowdowns during end-of-month financial closing, which typically lasts for 2 hours. The CloudWatch metrics show that during the slowdown, the EBS volume's Average Queue Length peaks at 20, and the instance's EBS Bandwidth is at 3500 Mbps (the maximum for r5.8xlarge is 4750 Mbps). The database team confirms that HANA is not CPU-bound during these periods. The SAP team wants a cost-effective solution to eliminate the performance bottleneck. Which solution should be recommended?

A.Use an Amazon FSx for Lustre file system as the HANA data volume for higher throughput.
B.Move to an r5n.24xlarge instance and use multiple io1 volumes in a RAID 0 stripe to increase throughput.
C.Increase the provisioned IOPS on the io1 volume to 32000 IOPS to reduce queue length.
D.Switch to a gp3 volume with 16000 IOPS and 1000 MB/s throughput to reduce cost.
AnswerB

Larger instance provides more EBS bandwidth; RAID 0 improves aggregate IOPS and throughput.

Why this answer

The bottleneck is EBS bandwidth, not IOPS. The r5.8xlarge instance has a maximum EBS bandwidth of 4750 Mbps, and during the slowdown the volume is already using 3500 Mbps, leaving limited headroom. By moving to an r5n.24xlarge instance, which offers significantly higher EBS bandwidth (up to 19,000 Mbps), and using multiple io1 volumes in a RAID 0 stripe, you can distribute the I/O load and increase both throughput and IOPS, eliminating the queue length issue cost-effectively without over-provisioning a single volume.

Exam trap

The trap here is that candidates often focus on increasing IOPS (option C) when the real bottleneck is EBS bandwidth, which is an instance-level limit, not a volume-level limit.

How to eliminate wrong answers

Option A is wrong because Amazon FSx for Lustre is a high-performance file system designed for HPC and large-scale analytics, not for SAP HANA data volumes; SAP HANA requires block storage (EBS) for its data and log volumes, and using a file system would introduce unacceptable latency and complexity. Option C is wrong because increasing provisioned IOPS to 32000 on a single io1 volume would not resolve the bottleneck; the instance's EBS bandwidth limit of 4750 Mbps caps the maximum throughput, and the queue length is caused by bandwidth saturation, not insufficient IOPS. Option D is wrong because switching to a gp3 volume with 16000 IOPS and 1000 MB/s throughput would actually reduce performance; gp3 has a baseline throughput of only 125 MB/s (1000 Mbps) and would throttle the workload, worsening the slowdown, and it does not address the instance-level bandwidth limitation.

318
Multi-Selecthard

A company is migrating a large SAP ERP system to AWS. Which TWO AWS services are essential for high availability and disaster recovery? (Choose two.)

Select 2 answers
A.Amazon CloudWatch
B.AWS Database Migration Service
C.Amazon S3
D.AWS Elastic Disaster Recovery (DRS)
E.Amazon Route 53
AnswersD, E

DRS replicates servers to a secondary region.

Why this answer

Correct options: D and E. AWS Elastic Disaster Recovery (DRS) provides continuous replication and recovery for SAP systems, ensuring disaster recovery. Amazon Route 53 enables DNS failover to route traffic to a secondary region or availability zone, supporting high availability.

Option A (CloudWatch) is a monitoring service, not directly for HA/DR. Option B (DMS) is for database migration, not full system recovery. Option C (S3) is storage, not a core HA/DR service.

319
MCQhard

A company is running SAP HANA on AWS and wants to encrypt the EBS volumes at rest. They also need to manage the encryption keys themselves. Which solution should they use?

A.Use AWS KMS with a customer managed key (CMK)
B.Enable EBS encryption with the default AWS managed KMS key
C.Use AWS CloudHSM to store keys
D.Use AWS Systems Manager Parameter Store
AnswerA

CMK allows customer to manage keys.

Why this answer

AWS KMS with a customer managed key (CMK) allows the company to have full control over the encryption keys used for EBS volume encryption, including key rotation, access policies, and disabling or deleting the key. This meets the requirement to manage the encryption keys themselves while still leveraging AWS KMS for key management and auditing.

Exam trap

The trap here is that candidates may confuse CloudHSM as a valid option for EBS encryption because it provides key storage, but AWS EBS encryption only supports KMS keys, not direct CloudHSM integration.

How to eliminate wrong answers

Option B is wrong because using the default AWS managed KMS key means AWS manages the key lifecycle and the customer cannot control or manage the key themselves, which violates the requirement to manage encryption keys. Option C is wrong because AWS CloudHSM provides hardware security modules for key storage but does not directly integrate with EBS encryption; EBS encryption requires a KMS key, and CloudHSM cannot be used as the key source for EBS volume encryption. Option D is wrong because AWS Systems Manager Parameter Store is a service for storing configuration data and secrets, not for managing encryption keys for EBS volumes, and it does not provide the cryptographic operations needed for EBS encryption.

320
Multi-Selecteasy

A company is migrating its SAP environment to AWS using AWS Launch Wizard for SAP. Which TWO pieces of information does Launch Wizard require to deploy an SAP system? (Choose TWO.)

Select 2 answers
A.SAP product version (e.g., SAP S/4HANA 2020)
B.Number of SAP users
C.On-premises IP addresses
D.AWS account ID
E.SAP system ID (SID)
AnswersA, E

This is correct because Launch Wizard requires the SAP product version to select the correct template.

Why this answer

AWS Launch Wizard for SAP requires the SAP product version (e.g., SAP S/4HANA 2020) to determine the appropriate deployment template. Option E is correct because the SAP system ID (SID) is required for system identification. Option B is incorrect because the number of SAP users is not a required input; it is used for sizing estimates but not mandatory for deployment.

Option C is incorrect because on-premises IP addresses are not needed; Launch Wizard designs the network setup for AWS. Option D is incorrect because the AWS account ID is automatically retrieved from the AWS environment and does not need to be provided.

321
MCQmedium

A company needs to automate the start and stop of SAP applications in non-production environments to reduce costs. The SAP systems run on multiple EC2 instances. Which AWS service can be used to schedule start and stop actions?

A.AWS OpsWorks
B.AWS Lambda with custom code
C.AWS Instance Scheduler
D.Amazon CloudWatch Events
AnswerC

Instance Scheduler is a ready-made solution that uses Lambda and DynamoDB to start/stop instances.

Why this answer

AWS Instance Scheduler is a purpose-built solution that automates the start and stop of EC2 instances based on a defined schedule, making it ideal for reducing costs in non-production SAP environments. It uses AWS CloudFormation to deploy a scheduler that triggers Lambda functions to stop and start instances at specified times, and it natively supports tagging to identify which instances to manage, without requiring custom code.

Exam trap

The trap here is that candidates often choose AWS Lambda with custom code (Option B) because they know Lambda can be scheduled with CloudWatch Events, but they overlook that AWS Instance Scheduler is a pre-built, managed solution that eliminates the need for custom development and maintenance, which is the most cost-effective and reliable approach for this specific use case.

How to eliminate wrong answers

Option A is wrong because AWS OpsWorks is a configuration management service (using Chef or Puppet) for managing application stacks, not a scheduling service for EC2 start/stop actions. Option B is wrong because while AWS Lambda with custom code could technically achieve this, it is not a managed service for scheduling; it requires building and maintaining custom logic, whereas AWS Instance Scheduler provides a ready-to-deploy, AWS-managed solution. Option D is wrong because Amazon CloudWatch Events (now Amazon EventBridge) can trigger actions based on schedules, but it cannot directly start or stop EC2 instances; it would need to invoke a Lambda function or other target, and it lacks the built-in tagging and scheduling logic that Instance Scheduler provides out of the box.

322
MCQhard

A company runs SAP ERP 6.0 on an Oracle database on EC2. The system is experiencing high CPU usage on the database server during peak hours. Analysis shows that the CPU is consumed by log writes. Which configuration change can reduce CPU usage?

A.Disable archiving of redo logs.
B.Switch from EBS gp3 to io2 Block Express volumes.
C.Upgrade to a larger EC2 instance type with more vCPUs.
D.Increase the Oracle log buffer size to reduce the number of log write operations.
AnswerD

Larger log buffer reduces write frequency, lowering CPU usage.

Why this answer

High CPU usage from log writes indicates that the database is spending excessive CPU cycles on writing redo log entries to disk. Increasing the Oracle log buffer size reduces the frequency of log write operations by allowing more redo data to accumulate before a write is triggered, thereby lowering CPU overhead. This directly addresses the root cause without changing storage or compute capacity.

Exam trap

The trap here is that candidates often confuse storage performance improvements (like faster EBS volumes) with database-level tuning, assuming that faster I/O reduces CPU usage, when in fact the CPU is consumed by the overhead of too many small write operations, not by slow I/O.

How to eliminate wrong answers

Option A is wrong because disabling archiving of redo logs would prevent point-in-time recovery and is not a supported configuration for production SAP systems, nor does it reduce CPU usage from log writes (it only stops copying to archive logs). Option B is wrong because switching to io2 Block Express volumes improves IOPS and throughput but does not reduce the number of log write operations; CPU consumption from log writes is a database-level issue, not a storage latency issue. Option C is wrong because upgrading to a larger EC2 instance adds more vCPUs but does not address the underlying inefficiency of frequent log writes; it would mask the symptom rather than fix the cause.

323
MCQeasy

An SAP Basis administrator needs to restart the SAP application server on an EC2 instance after applying kernel patches. What is the recommended way to perform the restart to minimize downtime?

A.Log in to the instance and restart the SAP system using SAP MMC or sapcontrol.
B.Stop and start the EC2 instance from the AWS CLI.
C.Reboot the EC2 instance from the AWS Management Console.
D.Terminate the instance and launch a new one from the same AMI.
AnswerA

This restarts only the SAP services, not the entire OS, resulting in shorter downtime.

Why this answer

Using SAP MMC to restart the SAP system allows a controlled restart that avoids a full OS reboot, minimizing downtime.

324
MCQhard

An SAP environment on AWS is using a single Availability Zone. The company wants to achieve high availability for SAP Central Services (ASCS) and Enqueue Replication Server (ERS). Which architecture should they implement?

A.Deploy ASCS and ERS in the same Availability Zone with a second instance as passive.
B.Place ASCS and ERS on the same instance to reduce complexity.
C.Deploy ASCS and ERS in separate Availability Zones using AWS Launch Wizard for SAP.
D.Use Auto Scaling groups to automatically replace failed instances.
AnswerC

AWS Launch Wizard for SAP can deploy a multi-AZ HA architecture with automatic failover.

Why this answer

Achieving high availability for SAP Central Services (ASCS) and Enqueue Replication Server (ERS) on AWS requires deploying them in separate Availability Zones (AZs) to protect against an entire AZ failure. AWS Launch Wizard for SAP automates the deployment of a multi-AZ SAP system, including the necessary infrastructure components like Elastic Load Balancing and Amazon EFS, ensuring that the ASCS and ERS instances are in different AZs with a replicated enqueue table. This architecture aligns with SAP's recommendation for a high-availability setup using a Pacemaker cluster with STONITH fencing, which is supported by AWS.

Exam trap

The trap here is that candidates often assume that a passive instance in the same AZ provides sufficient redundancy, overlooking that AWS defines an Availability Zone as a single failure domain, so true high availability requires separation across AZs.

How to eliminate wrong answers

Option A is wrong because deploying ASCS and ERS in the same Availability Zone with a passive instance does not protect against an AZ outage; if that single AZ fails, both the active and passive instances become unavailable, violating the high-availability requirement. Option B is wrong because placing ASCS and ERS on the same instance eliminates redundancy and creates a single point of failure; SAP explicitly requires separate instances for ASCS and ERS in a high-availability configuration to allow independent failover. Option D is wrong because Auto Scaling groups are designed for stateless, horizontally scalable workloads and cannot handle the stateful failover requirements of SAP ASCS/ERS, which rely on cluster-aware fencing and enqueue replication, not instance replacement.

325
Multi-Selecteasy

Which TWO of the following are valid methods for migrating SAP systems to AWS? (Select TWO.)

Select 2 answers
A.System Copy (SAP)
B.SAP Database Migration Option (DMO) with SUM
C.AWS Server Migration Service (SMS)
D.AWS Database Migration Service (DMS)
E.VM Import/Export
AnswersA, B

System Copy is a standard method to replicate SAP systems.

Why this answer

The correct answers are A and B. System Copy (SAP) is a standard SAP migration method that replicates an entire SAP system. SAP DMO with SUM is a dedicated migration tool for migrating to SAP HANA, including upgrades.

Option C (AWS SMS) is a general server migration service that does not handle SAP-specific components. Option D (AWS DMS) is primarily a database migration tool and does not migrate the SAP application layer or its configurations, making it unsuitable for a complete SAP system migration. Option E (VM Import/Export) can move VM images but lacks SAP-specific migration capabilities and post-migration automation required for SAP systems.

326
MCQmedium

An administrator created the IAM policy shown in the exhibit for the operations team. The team needs to create snapshots of EBS volumes that have the tag 'Name' with a value starting with 'SAP-HANA-'. However, the policy is not working as expected. What is the most likely reason?

A.The resource ARN is incorrect; it should specify the snapshot resource type.
B.The action 'ec2:CreateSnapshot' should be 'ec2:CreateSnapshots' (plural).
C.The condition key should be 'aws:ResourceTag' instead of 'ec2:ResourceTag'.
D.The 'ec2:CreateSnapshot' action does not support the 'ec2:ResourceTag' condition key.
AnswerD

The ec2:CreateSnapshot action does not support the ec2:ResourceTag condition key. Condition keys must be supported by the action. Option D is correct.

Why this answer

The ec2:CreateSnapshot action does not support the ec2:ResourceTag condition key. Condition keys must be supported by the action. Option A is incorrect because the resource ARN is correct for volumes.

Option B is incorrect because the action 'ec2:CreateSnapshot' is correct; the plural form is not valid. Option C is incorrect because 'ec2:ResourceTag' is the proper format for EC2 resource tags, but this condition key is not supported for the ec2:CreateSnapshot action.

327
MCQhard

A company is migrating a large SAP HANA database to AWS. They plan to use AWS DMS for ongoing replication. The source database is Oracle. During the full load phase, DMS reports an error: 'Failed to add supplemental logging for table'. What is the MOST likely cause?

A.The source database does not have supplemental logging enabled
B.The target database storage is insufficient
C.The network latency between source and target is too high
D.The source database does not have enough memory for DMS
AnswerA

DMS needs supplemental logging to capture changes.

Why this answer

The error 'Failed to add supplemental logging' indicates that DMS cannot capture changes because supplemental logging is not enabled on the source Oracle database. Supplemental logging is required for DMS to track changes during ongoing replication. Option A correctly identifies this missing prerequisite.

Option B (target storage insufficient) would cause target-side errors, not this specific error. Option C (network latency) would cause connectivity or timeout issues. Option D (source database memory) would cause performance issues, not a supplemental logging error.

328
MCQmedium

A company runs an SAP HANA database on an EC2 instance with a large EBS volume. The volume is approaching its maximum capacity. The operations team needs to increase the storage size without downtime. What is the most efficient way to achieve this?

A.Use the AWS Management Console, CLI, or API to modify the existing EBS volume to increase its size while the instance is running.
B.Create a new larger EBS volume and use rsync to copy data while the instance is running, then remount.
C.Stop the EC2 instance, detach the current EBS volume, create a new larger volume from a snapshot, attach it, and start the instance.
D.Add an additional EBS volume and use LVM to extend the logical volume.
AnswerA

EBS volumes can be modified online without downtime.

Why this answer

AWS allows you to modify EBS volumes (including increasing size) while they are attached and in use, without downtime. Option B is wrong because using rsync to copy data would require downtime for consistency and is less efficient. Option C is wrong because it requires stopping the instance.

Option D is wrong because it adds complexity and cost without being the most efficient method.

329
Multi-Selectmedium

A company is migrating an SAP system to AWS. Which TWO AWS services can be used to monitor the migration progress and performance?

Select 2 answers
A.AWS Config
B.AWS Trusted Advisor
C.AWS DMS
D.AWS Schema Conversion Tool (AWS SCT)
E.AWS CloudWatch
AnswersC, E

DMS provides CloudWatch metrics for migration tasks.

Why this answer

AWS CloudWatch can monitor metrics and logs; AWS DMS provides CloudWatch metrics for migration tasks. AWS SCT does not monitor progress; AWS Config is for configuration; AWS Trusted Advisor is for optimization.

330
Multi-Selecthard

A company is migrating a large-scale SAP environment to AWS. Which THREE AWS services can be used to optimize storage costs for SAP workloads? (Choose three.)

Select 3 answers
A.AWS Storage Gateway for on-premises caching
B.Amazon S3 Lifecycle policies to transition data
C.Amazon S3 Standard for all data
D.Amazon S3 Glacier for long-term backup
E.Amazon EBS Snapshots for incremental backups
AnswersB, D, E

Lifecycle policies move data to cheaper tiers.

Why this answer

Amazon S3 Lifecycle policies (Option B) allow you to automatically transition SAP backup and archival data from S3 Standard to lower-cost storage classes like S3 Standard-IA or S3 Glacier, reducing storage costs without manual intervention. This is critical for SAP workloads where large volumes of backup data accumulate over time and do not require immediate access.

Exam trap

The trap here is that candidates may confuse AWS Storage Gateway (a hybrid caching service) with a cost optimization tool for native AWS SAP workloads, or assume that S3 Standard is sufficient for all data without considering lifecycle transitions to lower-cost tiers like Glacier.

331
MCQeasy

An SAP Basis administrator needs to apply an OS-level security patch to a fleet of SAP EC2 instances running Red Hat Enterprise Linux. The instances are part of an Auto Scaling group. Which approach is the MOST efficient and minimizes downtime?

A.Create a custom AMI and manually terminate each instance to launch new ones.
B.Stop all instances, apply the patch using a script, and restart them.
C.Use AWS Systems Manager Patch Manager to apply the patch to all instances simultaneously.
D.Create a new AMI with the patch applied, update the launch template, and perform a rolling update via Auto Scaling.
AnswerD

This minimizes downtime by replacing instances one by one.

Why this answer

The most efficient and minimizes downtime because it uses a rolling update strategy. By creating a new AMI with the patch applied and updating the launch template in the Auto Scaling group, instances are gradually replaced without stopping all at once. Option A is incorrect because manually terminating instances is not efficient and doesn't leverage Auto Scaling automation.

Option B is incorrect because stopping all instances to apply a patch causes downtime. Option C is incorrect because while Systems Manager Patch Manager can apply patches, simultaneous patching without a rolling update risks service disruption, especially if reboots are required. The rolling update via Auto Scaling ensures high availability.

332
MCQmedium

A company is running a web application on EC2 instances behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group with a dynamic scaling policy based on average CPU utilization. During a flash sale, the application experiences a sudden spike in traffic, but the Auto Scaling group does not scale out quickly enough, causing some requests to fail. Which solution would improve the scaling responsiveness?

A.Increase the cooldown period for the dynamic scaling policy.
B.Add a scheduled scaling action to increase capacity before the flash sale.
C.Decrease the cooldown period for the dynamic scaling policy.
D.Disable scale-in to prevent the Auto Scaling group from terminating instances during the sale.
AnswerB

Scheduled scaling proactively adds capacity ahead of known traffic spikes.

Why this answer

A scheduled scaling action proactively increases capacity before the flash sale, eliminating the lag inherent in dynamic scaling policies. Dynamic scaling reacts to metrics like average CPU utilization, which can take minutes to trigger and propagate, causing request failures during sudden spikes. By pre-scaling, the Auto Scaling group has sufficient instances ready to handle the traffic surge immediately.

Exam trap

The trap here is that candidates often focus on tuning cooldown periods or disabling scale-in, thinking these improve responsiveness, when the real issue is the inherent latency of reactive scaling during unpredictable spikes.

How to eliminate wrong answers

Option A is wrong because increasing the cooldown period would delay further scaling actions after a scale-out, making the group even less responsive to sudden spikes. Option C is wrong because decreasing the cooldown period might allow faster subsequent scaling but does not address the initial delay in detecting and reacting to the traffic spike. Option D is wrong because disabling scale-in prevents termination of instances but does not add new instances; it only protects existing ones, which are already insufficient during the flash sale.

333
MCQeasy

An SAP system is running on an EC2 instance with a single Amazon EBS volume for data and log files. The database administrator wants to increase the IOPS performance without changing the instance type. Which action should be taken?

A.Modify the EBS volume to provisioned IOPS (io1/io2).
B.Enable EBS optimization on the EC2 instance.
C.Change the EC2 instance type to a larger size.
D.Migrate the data to an instance store volume.
AnswerA

You can modify an EBS volume to increase IOPS, including switching to io1/io2.

Why this answer

The correct action is to modify the EBS volume to use provisioned IOPS (io1 or io2), as this directly increases the IOPS performance of the volume without changing the instance type. The current single EBS volume is likely a gp2 or gp3 type, which has a baseline IOPS limit; switching to io1/io2 allows you to specify a higher, consistent IOPS level that meets the SAP database's performance requirements.

Exam trap

The trap here is that candidates may confuse EBS optimization (which improves network throughput for EBS) with increasing the volume's IOPS performance, leading them to select Option B, but EBS optimization does not change the volume's IOPS limit.

How to eliminate wrong answers

Option B is wrong because EBS optimization is a feature that ensures dedicated network bandwidth for EBS traffic, but it does not increase the IOPS limit of the volume itself; it only prevents network contention. Option C is wrong because changing the instance type to a larger size would increase the maximum IOPS the instance can support, but the question explicitly states 'without changing the instance type,' so this violates the constraint. Option D is wrong because instance store volumes are ephemeral and provide temporary, block-level storage that does not persist data across stops or terminations, making them unsuitable for SAP database data and log files that require durability.

334
Multi-Selecthard

A company is designing a highly available SAP NetWeaver system on AWS. The architecture includes two EC2 instances running the ABAP application server in an Auto Scaling group. Which THREE components are required to maintain session persistence and distribute traffic? (Choose THREE.)

Select 3 answers
A.Health checks on the target group to detect unhealthy instances
B.A shared file system (e.g., Amazon EFS) for /sapmnt
C.An Application Load Balancer (ALB) or Network Load Balancer (NLB)
D.Sticky sessions (session affinity) enabled on the load balancer
E.A Multi-AZ deployment for the SAP application servers
AnswersA, C, D

Health checks are essential to route traffic only to healthy instances.

Why this answer

Health checks on the target group are required to detect unhealthy EC2 instances running the ABAP application server. When an instance fails a health check, the load balancer automatically stops routing traffic to it, ensuring that only healthy instances serve requests. This is critical for maintaining high availability in an SAP NetWeaver environment, as it prevents session failures caused by underlying instance issues.

Exam trap

The trap here is that candidates often confuse infrastructure components (like shared storage or Multi-AZ) with the specific mechanisms that enforce session persistence and traffic distribution, leading them to select options that are important for overall architecture but not directly required for the stated goal.

335
MCQeasy

An SAP on AWS deployment uses an Auto Scaling group for the SAP application tier. The application is stateless and can scale out and in based on CPU utilization. Which scaling policy should be used to add new instances during peak load and remove them when the load decreases?

A.Simple scaling policy based on CPU utilization.
B.Target tracking scaling policy with a target CPU utilization of 70%.
C.Step scaling policy with multiple steps for different CPU thresholds.
D.Scheduled scaling policy to add instances during business hours.
AnswerB

Target tracking automatically adjusts capacity to maintain the target.

Why this answer

A target tracking scaling policy is the simplest and most automated way to maintain a target CPU utilization. Option A is wrong because simple scaling does not adjust dynamically. Option C is wrong because step scaling requires manual configuration of steps.

Option D is wrong because scheduled scaling is for predictable loads, not dynamic.

336
MCQmedium

A company is migrating a legacy on-premises application to AWS. The application uses a proprietary database that is not supported by AWS Database Migration Service (DMS). The company needs to minimize downtime and automate the migration as much as possible. Which approach should be used?

A.Use AWS Database Migration Service (DMS) with a custom endpoint.
B.Use AWS Application Migration Service (MGN) to replicate the entire server, including the database, to AWS.
C.Export the database as a flat file, upload to Amazon S3, and import into Amazon RDS.
D.Use AWS Snowball to transfer database backups, then restore in Amazon RDS.
AnswerB

MGN provides continuous replication, supports any database, and automates migration with minimal downtime.

Why this answer

AWS Application Migration Service (MGN) can replicate entire servers, including the operating system, applications, and the proprietary database, to AWS without requiring database-specific support. This minimizes downtime by using continuous block-level replication and automates the migration by converting the source server into a native AWS instance. Since AWS DMS does not support the proprietary database, MGN provides a viable path for migrating the entire workload as a whole.

Exam trap

The trap here is that candidates assume AWS DMS can handle any database via custom endpoints, but DMS requires the source database to be one of its supported engines for logical replication; custom endpoints only allow connecting to unsupported targets, not unsupported sources.

How to eliminate wrong answers

Option A is wrong because AWS DMS with a custom endpoint still requires the database to be supported by DMS for the replication engine to interpret the data; a custom endpoint cannot add support for an unsupported proprietary database engine. Option C is wrong because exporting a proprietary database as a flat file is often not feasible due to proprietary binary formats, and importing into Amazon RDS would require a compatible database engine, which the proprietary database is not. Option D is wrong because AWS Snowball is designed for large-scale offline data transfer, not for minimizing downtime; it involves shipping physical devices and does not automate the migration process, and restoring a proprietary backup into Amazon RDS is impossible if RDS does not support that database engine.

337
MCQeasy

A company is designing a highly available SAP NetWeaver system on AWS. They plan to use a two-node ASCS/ERS cluster with SUSE Linux Enterprise Server (SLES). Which AWS service is required to manage the virtual IP address for the cluster?

A.AWS VPC Peering
B.Amazon Route 53
C.Amazon EBS
D.Elastic Load Balancing
AnswerB

Route 53 can be configured with DNS failover to route traffic to the active node using the virtual IP.

Why this answer

Amazon Route 53 is required to manage the virtual IP address for the two-node ASCS/ERS cluster by using DNS failover. In a SLES-based SAP NetWeaver cluster on AWS, the cluster software (e.g., Pacemaker) updates a Route 53 DNS record with the private IP address of the active node, enabling clients to connect via a hostname that resolves to the current primary node. This DNS-based approach replaces traditional virtual IP (VIP) floating, which is not natively supported in AWS VPC due to the lack of gratuitous ARP or multicast.

Exam trap

The trap here is that candidates often confuse the need for a virtual IP address with traditional network-level VIPs (e.g., using Elastic IP or ENI attachment) and overlook that AWS does not support gratuitous ARP, so DNS-based failover via Route 53 is the required method for SAP ASCS/ERS clusters on SLES.

How to eliminate wrong answers

Option A is wrong because AWS VPC Peering is a network connectivity feature that connects VPCs, not a service for managing virtual IP addresses or DNS failover for an SAP cluster. Option C is wrong because Amazon EBS provides block-level storage volumes for EC2 instances, but it does not manage IP addresses or provide any DNS-based failover mechanism. Option D is wrong because Elastic Load Balancing distributes incoming traffic across multiple targets, but it cannot be used to manage a single virtual IP address for an ASCS/ERS cluster; the cluster requires a static VIP that follows the active node, which ELB does not support.

338
MCQmedium

A company has deployed SAP S/4HANA on AWS using a single EC2 instance for the HANA database and multiple EC2 instances for the application servers. The system is in production and the company wants to implement high availability for the HANA database to minimize downtime during patching and failures. The HANA database is critical and must have an RTO of less than 5 minutes and an RPO of zero. The current setup uses a single EBS volume for /hana/data and another for /hana/log. The company has two Availability Zones available. Which solution meets the requirements?

A.Configure SAP HANA System Replication with automatic failover to a secondary HANA instance in another AZ.
B.Attach the EBS volumes to two EC2 instances using EBS Multi-Attach.
C.Use AWS Backup to schedule snapshots every 5 minutes and restore in another AZ if needed.
D.Deploy the HANA database on a larger EC2 instance with higher availability SLA.
AnswerA

Synchronous replication provides zero RPO and fast failover.

Why this answer

SAP HANA System Replication (HSR) with automatic failover meets the RTO < 5 minutes and RPO = 0 requirements by synchronously replicating data to a secondary HANA instance in another Availability Zone. Automatic failover ensures the secondary takes over without manual intervention, minimizing downtime during patching or failures. This is the only option that provides synchronous replication with zero data loss and fast failover across AZs.

Exam trap

The trap here is that candidates may confuse EBS Multi-Attach with a cross-AZ solution, but Multi-Attach is strictly single-AZ and cannot provide the required cross-AZ high availability for SAP HANA.

How to eliminate wrong answers

Option B is wrong because EBS Multi-Attach does not support attaching a single EBS volume to EC2 instances in different Availability Zones; it only works within the same AZ, so it cannot provide cross-AZ high availability. Option C is wrong because AWS Backup snapshots are asynchronous and taken at intervals (e.g., every 5 minutes), which cannot achieve an RPO of zero; restoring a snapshot also takes longer than 5 minutes, failing the RTO requirement. Option D is wrong because simply using a larger EC2 instance with a higher availability SLA does not provide failover to another instance or AZ; it only reduces the chance of failure but does not eliminate downtime during patching or actual failures.

339
MCQmedium

An SAP system on AWS is running on an r5.16xlarge instance. The system is experiencing network throughput bottlenecks. Which step should be taken to improve network performance?

A.Move the instance to a placement group
B.Attach an Elastic Fabric Adapter
C.Enable Enhanced Networking and install the ENA driver
D.Change the instance type to c5.18xlarge
AnswerC

ENA provides higher bandwidth and lower latency.

Why this answer

Enabling Enhanced Networking and installing the Elastic Network Adapter (ENA) driver is the standard method to achieve higher packet-per-second (PPS) performance, lower latency, and increased network bandwidth on supported instance types like r5.16xlarge. Without the ENA driver, the instance uses the older Xen network driver, which cannot utilize the full 25 Gbps network bandwidth available to r5 instances, leading to throughput bottlenecks.

Exam trap

The trap here is that candidates assume changing to a larger or different instance type (like c5.18xlarge) will automatically increase network bandwidth, when in fact the root cause is the missing ENA driver, and the r5.16xlarge already supports the same 25 Gbps bandwidth once Enhanced Networking is enabled.

How to eliminate wrong answers

Option A is wrong because placement groups (cluster, spread, partition) affect network latency and throughput between instances within the same group, but they do not increase the maximum network bandwidth of a single instance; they only reduce inter-instance latency and jitter. Option B is wrong because Elastic Fabric Adapter (EFA) is designed for tightly coupled HPC/ML workloads using OS-bypass (e.g., Libfabric) and is not supported or beneficial for SAP workloads, which rely on standard TCP/IP networking. Option D is wrong because changing to c5.18xlarge does not inherently improve network performance; both r5.16xlarge and c5.18xlarge offer up to 25 Gbps network bandwidth, but the bottleneck is due to missing ENA driver, not instance type; additionally, c5 instances lack the memory required for SAP workloads, making this change impractical.

340
MCQmedium

An SAP system is running on AWS and needs to be migrated from a current generation instance (r3) to a newer generation (r5). What is the recommended process to minimize downtime?

A.Modify the instance type while the instance is running.
B.Stop the instance, change the instance type, and start the instance.
C.Create an AMI of the r3 instance and launch an r5 instance from it.
D.Launch a new r5 instance and migrate the SAP system.
AnswerB

Minimal downtime by changing type after stop.

Why this answer

Stopping the instance is required to change the instance type for EC2 instances that are not configured for 'Stop/Start' hibernation or Nitro-based instance compatibility. For SAP systems running on current-generation instances (r3), which are Xen-based, a stop is necessary to modify the instance type to r5 (Nitro-based). This process minimizes downtime by allowing the instance to be stopped, changed, and started in a controlled manner, typically taking only a few minutes.

Exam trap

The trap here is that candidates assume modifying an instance type while running is always possible (Option A), but AWS only supports this for Nitro-based instances with specific configurations (e.g., instances that support 'Modify Instance Type' without stopping). The r3 instances are Xen-based and require a stop to change the instance type to r5 (Nitro-based). Therefore, stopping the instance is necessary.

How to eliminate wrong answers

Option A is wrong because modifying the instance type while the instance is running is only supported for instances that are Nitro-based and have 'Stop/Start' hibernation enabled; r3 instances are Xen-based and do not support live instance type changes, so attempting this would result in an error or require a stop. Option C is wrong because creating an AMI of the r3 instance and launching an r5 instance from it introduces additional downtime for AMI creation and does not preserve the existing instance's state (e.g., network interfaces, Elastic IPs, or instance store data) without manual reconfiguration, making it less efficient than a direct instance type change. Option D is wrong because launching a new r5 instance and migrating the SAP system requires a full data migration (e.g., using SAP tools like SWPM or database replication), which involves significant downtime and complexity compared to simply changing the instance type on the existing instance.

341
MCQmedium

A company runs SAP HANA on AWS using an m5.24xlarge instance. The storage is configured with multiple EBS io1 volumes striped with LVM. Recently, the database performance has degraded. CloudWatch shows that the EBS write latency averages 5 ms, and the queue depth is consistently below 1. What is the most likely cause of the performance degradation?

A.The LVM stripe width is misconfigured causing uneven I/O distribution
B.The EBS-optimized instance feature is not enabled
C.The EBS volume type should be changed to gp3
D.The EBS write latency is too high and requires a larger instance
AnswerA

Improper stripe width can lead to hot spots.

Why this answer

With EBS write latency averaging 5 ms and queue depth consistently below 1, the storage subsystem is not saturated; the bottleneck is likely an uneven distribution of I/O across the LVM striped volumes. A misconfigured stripe width (e.g., too small or not aligned with the SAP HANA page size of 16 KB) can cause certain volumes to handle disproportionate write traffic, leading to localized latency spikes and overall performance degradation even when aggregate metrics appear acceptable.

Exam trap

The trap here is that candidates often assume high latency or low queue depth automatically points to an instance or volume type issue, rather than considering LVM striping misconfiguration as the root cause of uneven I/O distribution.

How to eliminate wrong answers

Option B is wrong because the m5.24xlarge instance is EBS-optimized by default, and the queue depth being below 1 indicates that the instance’s network bandwidth to EBS is not a limiting factor. Option C is wrong because changing to gp3 would not resolve an I/O distribution issue; gp3 offers baseline performance but still relies on proper LVM striping, and the current io1 volumes with adequate IOPS are not the root cause. Option D is wrong because a 5 ms write latency is within acceptable limits for EBS io1 (typically under 10 ms), and the queue depth below 1 shows the instance is not waiting on EBS; a larger instance would not fix a misconfigured stripe width.

342
MCQmedium

An SAP administrator needs to ensure that Amazon EBS snapshots of SAP HANA data volumes are crash-consistent. The HANA database is on a single EC2 instance with multiple EBS volumes. What is the correct approach?

A.Configure the volumes as a RAID 0 array and take a snapshot of the array.
B.Take snapshots of each volume individually while the instance is running.
C.Stop the EC2 instance, take snapshots of all volumes, then start the instance.
D.Use AWS Backup with application-consistent snapshots using pre- and post-scripts.
AnswerD

AWS Backup can orchestrate snapshots across multiple volumes and run scripts to freeze the filesystem and database, ensuring consistency.

Why this answer

AWS Backup with application-consistent snapshots uses pre- and post-scripts to quiesce the SAP HANA database, ensuring that all EBS volumes are captured in a crash-consistent state. This approach coordinates the snapshot process across multiple volumes without stopping the EC2 instance, maintaining data integrity for SAP HANA's data volumes.

Exam trap

The trap here is that candidates may assume stopping the instance (Option C) is the only way to ensure crash consistency, overlooking AWS Backup's ability to achieve the same result without downtime using application-consistent snapshots.

How to eliminate wrong answers

Option A is wrong because RAID 0 arrays do not inherently provide crash consistency across snapshots; snapshotting the array as a whole is not supported by EBS, and individual volume snapshots would still be inconsistent without coordination. Option B is wrong because taking snapshots of each volume individually while the instance is running can result in inconsistent data across volumes, as writes may occur between snapshots, leading to a non-crash-consistent state. Option C is wrong because stopping the EC2 instance ensures crash consistency but causes downtime, which is unnecessary and disruptive for production SAP HANA environments; AWS Backup with scripts achieves the same goal without downtime.

343
Multi-Selectmedium

A company is deploying SAP NetWeaver on AWS and needs to ensure high availability for the SAP Central Services (ASCS) and Enqueue Replication Server (ERS). Which AWS services can be used to implement a failover cluster for ASCS and ERS? (Select THREE.)

Select 3 answers
A.AWS CloudTrail
B.Elastic Load Balancing
C.Amazon Route 53
D.AWS Config
E.Custom scripts to manage floating IP and start/stop services
AnswersB, C, E

Can be used to route traffic to the active ASCS instance.

Why this answer

Elastic Load Balancing (ELB) is correct because it can be used in conjunction with a Network Load Balancer (NLB) to provide a stable endpoint for SAP ASCS and ERS failover. The NLB supports static IP addresses and can be configured with health checks that monitor the SAP service, automatically routing traffic to the healthy node in the cluster. This eliminates the need for a traditional floating IP and integrates with AWS-native failover mechanisms.

Exam trap

The trap here is that candidates often assume a traditional floating IP is required for SAP ASCS/ERS failover, but AWS recommends using an NLB and/or Route 53 to provide a stable endpoint, making custom scripts for floating IP management optional rather than mandatory.

344
MCQhard

An SAP system on AWS has an SAP Central Services (ASCS) instance running on an EC2 instance. The solution must ensure high availability for the ASCS in case of an EC2 failure. The ASCS uses a shared file system for the /sapmnt and /usr/sap/trans directories. Which architecture meets the high availability requirement with the least administrative overhead?

A.Deploy a second ASCS instance in another AZ and use an EC2 instance running NFS server with an EBS volume
B.Use an Amazon EBS volume attached to the ASCS instance and replicate it to another Availability Zone using EBS Snapshots
C.Use Amazon S3 and mount it using s3fs-fuse for the shared file system
D.Use Amazon EFS for /sapmnt and /usr/sap/trans, and configure a Pacemaker cluster across two Availability Zones
AnswerD

EFS is a managed NFS file system that is highly available and integrates with Pacemaker for automatic failover.

Why this answer

Amazon EFS provides a fully managed, highly available, and durable NFS file system that can be mounted concurrently across multiple EC2 instances in different Availability Zones. By using EFS for /sapmnt and /usr/sap/trans, and configuring a Pacemaker cluster across two AZs, you achieve automatic failover for the ASCS instance without the administrative overhead of managing a separate NFS server or replicating snapshots.

Exam trap

The trap here is that candidates may overlook the need for a fully managed, POSIX-compliant shared file system and instead choose a self-managed NFS server or a non-POSIX solution like S3, not realizing that SAP ASCS requires concurrent access with file locking and low latency.

How to eliminate wrong answers

Option A is wrong because it introduces a single point of failure with the EC2 instance running NFS server and requires manual management of the NFS server and EBS volume replication, increasing administrative overhead. Option B is wrong because EBS Snapshots are point-in-time backups, not a real-time replication mechanism, and cannot provide the synchronous shared file system required for ASCS high availability; restoring from a snapshot would cause significant downtime and data loss. Option C is wrong because s3fs-fuse is a FUSE-based filesystem that does not provide the POSIX compliance, low latency, or concurrent access guarantees required by SAP ASCS, and it introduces performance and consistency issues.

345
Multi-Selectmedium

Which THREE of the following are best practices for securing an SAP system on AWS? (Choose THREE.)

Select 3 answers
A.Enable CloudTrail to log API calls for auditing
B.Use AWS Key Management Service (KMS) to encrypt EBS volumes
C.Use the same security group for all SAP instances
D.Store SAP license keys in a public S3 bucket
E.Restrict network access using security groups and network ACLs
AnswersA, B, E

Auditing is a security best practice.

Why this answer

AWS CloudTrail records all API calls made to the AWS environment, including those that modify SAP infrastructure (e.g., EC2 instance launches, security group changes). Enabling CloudTrail provides an immutable audit log that is essential for compliance, security incident investigation, and operational troubleshooting in an SAP landscape. This aligns with the AWS shared responsibility model, where customers must log and monitor actions taken on their SAP workloads.

Exam trap

The trap here is that candidates may think sharing a security group simplifies management, but AWS explicitly requires separate security groups for different SAP tiers to enforce network segmentation and meet SAP certification requirements.

346
MCQeasy

A customer wants to migrate their SAP HANA database to AWS and needs to ensure that the EBS volumes for /hana/data and /hana/log are configured for maximum throughput and low latency. Which EBS volume type should be used for /hana/data?

A.st1
B.io2
C.gp3
D.sc1
AnswerB

io2 provides low latency and high IOPS suitable for HANA.

Why this answer

For SAP HANA workloads on AWS, the /hana/data volume requires the highest level of IOPS and low latency to support real-time data processing. io2 Block Express volumes provide up to 256,000 IOPS and sub-millisecond latency, making them the correct choice for /hana/data. io2 volumes also offer 99.999% durability, which is critical for SAP HANA database consistency.

Exam trap

The trap here is that candidates often choose gp3 (Option C) because it is the default general-purpose SSD and can be provisioned for high IOPS, but they overlook that SAP HANA certification for /hana/data mandates io1 or io2 volumes to guarantee the consistent low latency and durability required for production workloads.

How to eliminate wrong answers

Option A (st1) is wrong because st1 is a throughput-optimized HDD volume designed for large sequential workloads like big data and log processing, not for the random I/O and low-latency requirements of SAP HANA /hana/data. Option C (gp3) is wrong because while gp3 offers baseline performance and can be provisioned for higher IOPS, it does not match the maximum throughput and sub-millisecond latency of io2 Block Express, and SAP HANA certification for production /hana/data specifically requires io1 or io2 volumes. Option D (sc1) is wrong because sc1 is a cold HDD volume designed for infrequently accessed data with the lowest cost, and its performance is completely inadequate for the high IOPS and low latency demands of SAP HANA /hana/data.

347
MCQmedium

A retail company is migrating its SAP ERP system to AWS. The system includes an SAP HANA database (1 TB) and an SAP NetWeaver application server. The migration strategy is to use AWS Database Migration Service (DMS) for the database and then manually install the application server on an EC2 instance. The network connection is AWS Direct Connect with 1 Gbps bandwidth. During the migration, the DMS task for the database completes successfully, but the application server installation fails because the SAP installation media is not accessible. The installation media is stored on an on-premises file server. The EC2 instance for the application server is in a private subnet with no direct internet access. The administrator has created a VPC endpoint for S3 to access the media, but the media is not in S3. Which step should the administrator take to make the installation media available?

A.Copy the installation media to an S3 bucket and use the VPC endpoint to access it.
B.Add a route in the VPC route table to direct traffic to the on-premises network via Direct Connect.
C.Attach an internet gateway to the VPC and assign a public IP to the EC2 instance.
D.Use AWS Storage Gateway to cache the media in S3.
AnswerB

Adding a route in the VPC route table to direct traffic to the on-premises network via Direct Connect allows the EC2 instance in the private subnet to communicate directly with the on-premises file server.

Why this answer

The installation media resides on an on-premises file server. The EC2 instance is in a private subnet connected via Direct Connect. To access the on-premises network, the administrator must add a route in the VPC route table that directs traffic for the on-premises IP range to the Direct Connect virtual interface (VIF).

Option A involves an unnecessary copy to S3. Option C introduces internet exposure. Option D is for caching on-premises data to S3 but does not resolve routing.

348
MCQeasy

A company is migrating its SAP BusinessObjects to AWS. The current on-premises deployment uses a Windows-based environment. Which AWS service should the company use to migrate the Windows servers?

A.AWS Schema Conversion Tool (AWS SCT)
B.AWS Application Migration Service (AWS MGN)
C.AWS Database Migration Service (AWS DMS)
D.AWS Server Migration Service (AWS SMS)
AnswerB

MGN automates server migration for Windows and Linux.

Why this answer

AWS MGN is the recommended service for migrating Windows servers to AWS. Option A is wrong because AWS SCT is for schema conversion, not server migration. Option C is wrong because AWS DMS is for databases, not servers.

Option D is wrong because AWS Server Migration Service (SMS) is deprecated.

349
Multi-Selecthard

An operations team is planning a disaster recovery (DR) strategy for an SAP system on AWS. The system includes SAP HANA database and application servers. The DR site must have a Recovery Time Objective (RTO) of 2 hours and a Recovery Point Objective (RPO) of 15 minutes. Which THREE components are essential for this DR strategy? (Choose THREE.)

Select 3 answers
A.AWS CloudFormation templates to provision the DR infrastructure
B.Multi-AZ deployment of the SAP application servers
C.Amazon S3 Cross-Region Replication for SAP backup files
D.Amazon Route 53 health checks and failover routing
E.Cross-Region replication of EBS snapshots for SAP HANA data volumes
AnswersA, C, E

Automated provisioning helps meet the 2-hour RTO.

Why this answer

Correct answers are A, C, and E. CloudFormation templates (A) automate infrastructure provisioning, helping meet the 2-hour RTO. S3 Cross-Region Replication for SAP backup files (C) ensures backups are available in the DR region, supporting RPO.

Cross-Region replication of EBS snapshots for SAP HANA data volumes (E) enables frequent snapshots (e.g., every 15 minutes) to meet the RPO. B is wrong because Multi-AZ is for high availability within a region, not cross-region DR. D is wrong because Route 53 health checks and failover routing are important for traffic management but are not essential components for achieving the specified RTO/RPO; they support failover but do not directly provide data replication or infrastructure provisioning.

350
MCQeasy

A company is planning to migrate its SAP HANA database to AWS. They require high availability with automatic failover in less than 30 seconds. Which AWS service should be used to meet this requirement?

A.Elastic Load Balancing
B.AWS Direct Connect
C.AWS Global Accelerator
D.Amazon Route 53
AnswerD

Route 53 with failover routing can meet the sub-30-second failover requirement.

Why this answer

Amazon Route 53 can be configured with health checks and DNS failover to automatically redirect traffic to a standby SAP HANA database in a different Availability Zone or region when the primary fails. With a low TTL (e.g., 5 seconds) and active-passive routing, failover can occur in under 30 seconds, meeting the high availability requirement.

Exam trap

The trap here is that candidates often confuse high-availability load balancing (ELB) with DNS-based failover (Route 53), assuming ELB can handle database failover, but ELB cannot redirect traffic to a standby database in a different AZ or region with sub-30-second failover timing.

How to eliminate wrong answers

Option A is wrong because Elastic Load Balancing operates at Layer 4/7 and is designed for distributing traffic across multiple healthy targets, but it does not provide automatic DNS-based failover for database endpoints and cannot reroute traffic to a standby database in a different region within 30 seconds. Option B is wrong because AWS Direct Connect establishes a dedicated network connection from on-premises to AWS, but it does not offer any automatic failover or routing logic for database availability. Option C is wrong because AWS Global Accelerator improves performance and provides static IP addresses with health-check-based traffic shifting, but it operates at the network layer and is not designed for DNS-level failover of database endpoints with sub-30-second failover times.

351
Multi-Selectmedium

Which TWO statements are correct regarding SAP HANA backup strategies on AWS? (Choose two.)

Select 2 answers
A.EBS snapshots are the most cost-effective option for long-term backup retention.
B.S3 can be used as a backup destination for SAP HANA using AWS Backup.
C.S3 Standard-IA storage class is optimal for cross-region replication.
D.EBS snapshots can be used for fast recovery of HANA database volumes.
E.SAP HANA backup to EBS volumes is the recommended method for long-term archival.
AnswersB, D

AWS Backup supports SAP HANA on EC2.

Why this answer

AWS Backup natively supports SAP HANA as a managed backup service, allowing backups to be stored directly in Amazon S3. This provides a durable, scalable, and cost-effective backup destination without the need to manage backup infrastructure or scripts. Option B is correct because AWS Backup integrates with SAP HANA to automate full, incremental, and differential backups to S3.

Exam trap

The trap here is that candidates often assume EBS snapshots are the best for all backup scenarios due to their speed and simplicity, but they overlook that AWS Backup with S3 provides superior cost efficiency and lifecycle management for long-term retention and archival.

352
MCQmedium

An SAP administrator applies the IAM policy shown in the exhibit to an IAM user. The administrator reports that the user can start and stop EC2 instances but cannot tag them. Why is the user unable to tag instances?

A.The user does not have permission to describe instances.
B.The resource ARN is too restrictive.
C.There is an implicit deny for all actions not listed.
D.The policy does not include the ec2:CreateTags action.
AnswerD

Tagging requires ec2:CreateTags action.

Why this answer

The IAM policy explicitly grants ec2:StartInstances and ec2:StopInstances actions but does not include ec2:CreateTags. Without the ec2:CreateTags action, the user lacks the required permission to create or modify tags on EC2 instances, even though they can start and stop them.

Exam trap

The trap here is that candidates assume that having permissions to start and stop instances implicitly includes the ability to tag them, but AWS IAM treats tagging as a distinct action requiring explicit authorization.

How to eliminate wrong answers

Option A is wrong because describing instances is not required for tagging; the ec2:DescribeInstances action is separate from ec2:CreateTags and is not needed to perform tagging operations. Option B is wrong because the resource ARN in the policy is not too restrictive; it correctly targets EC2 instances, and tagging is an action that can be applied to instances, so the ARN does not block tagging. Option C is wrong because while an implicit deny exists for actions not explicitly allowed, the core issue is the missing ec2:CreateTags action, not the implicit deny itself—the deny is a consequence of the missing permission, not a separate reason.

353
Multi-Selecthard

A company is migrating a large SAP Business Suite system to AWS. The system has a 10 TB SAP HANA database. The migration window is limited to 48 hours. The company has a 1 Gbps direct connect link to AWS. Which TWO actions should the company take to minimize the migration time while ensuring data consistency?

Select 2 answers
A.Use AWS Snowball Edge to transfer a full database backup from on-premises to AWS, then restore it on the target HANA instance.
B.Set up SAP HANA System Replication (HSR) and let it synchronize the full database over the Direct Connect link.
C.Use AWS DMS to migrate the HANA database directly over the Direct Connect link.
D.After the initial restore from Snowball, configure SAP HANA System Replication to synchronize incremental changes.
E.Use AWS SCT to convert the database schema before migration.
AnswersA, D

Snowball accelerates initial data transfer.

Why this answer

(initialize the target HANA instance with a backup/restore using AWS Snowball) is correct because it bypasses network limitations for the initial data load. Option D (configure SAP HANA System Replication over the Direct Connect link after initial load) is correct because it syncs incremental changes. Option B would take too long over the link.

Option C is for ongoing replication not initial load. Option E is a best practice but not for minimizing migration time.

354
MCQmedium

A company is migrating an SAP Business Suite system to AWS. The system has a large database and requires high network throughput between the application and database tiers. Which Amazon EC2 placement group strategy should be used?

A.Spread placement group
B.Partition placement group
C.Cluster placement group
D.No placement group
AnswerC

Cluster groups provide low-latency, high-throughput within an AZ.

Why this answer

A cluster placement group is the correct choice because it provides low-latency, high-throughput networking by placing all instances in a single Availability Zone within the same logical rack. For SAP Business Suite with a large database, the application and database tiers require high network throughput (e.g., up to 100 Gbps for supported instance types) and minimal latency, which a cluster placement group delivers by ensuring all instances are in close physical proximity. In contrast, a spread placement group distributes instances across distinct hardware to reduce risk of simultaneous failure but does not optimize network performance.

A partition placement group spreads instances across logical partitions to isolate failures but also lacks the high-bandwidth, low-latency benefits of a cluster group. Using no placement group may result in instances being placed on separate racks, increasing network latency and reducing throughput.

Exam trap

The trap here is that candidates often confuse placement groups and assume a spread or partition group provides better fault isolation, but for SAP workloads requiring high network throughput, the cluster placement group's low-latency and high-bandwidth characteristics are the primary requirement, not fault domain separation.

How to eliminate wrong answers

Option A is wrong because a spread placement group spreads instances across distinct hardware racks to reduce correlated failures, which does not optimize for high network throughput between tiers and can increase latency. Option B is wrong because a partition placement group divides instances into logical partitions to isolate failures across racks, but it does not guarantee the low-latency, high-bandwidth connectivity needed for SAP application-to-database communication. Option D is wrong because using no placement group means instances may be placed on different racks or even different Availability Zones, leading to higher latency and lower network throughput, which is unsuitable for a latency-sensitive SAP workload.

355
Multi-Selecteasy

Which TWO AWS services can be used to monitor the performance of SAP applications? (Select two.)

Select 2 answers
A.Amazon CloudWatch
B.AWS Config
C.AWS Shield
D.AWS CloudTrail
E.AWS X-Ray
AnswersA, E

CloudWatch collects metrics and logs from SAP infrastructure.

Why this answer

Amazon CloudWatch is correct because it provides comprehensive monitoring for SAP applications by collecting metrics such as CPU utilization, memory usage, disk I/O, and network throughput from EC2 instances running SAP. You can set custom CloudWatch alarms to trigger actions when SAP-specific performance thresholds are breached, and integrate with SAP's CCMS (Computing Center Management System) via the AWS SAP Monitoring agent to pull SAP application-level metrics like dialog response times and buffer hit ratios.

Exam trap

The trap here is that candidates often confuse AWS CloudTrail (audit logging) with CloudWatch (monitoring), or assume AWS Config can monitor performance because it tracks resource state changes, but neither provides the real-time metric collection needed for SAP performance analysis.

356
MCQeasy

A company is migrating a critical Oracle database to Amazon RDS for Oracle. They need to minimize downtime and ensure data consistency. Which AWS service should they use to perform an online migration with minimal impact?

A.AWS Direct Connect
B.AWS Database Migration Service (DMS)
C.AWS Snowball
D.Amazon S3 Transfer Acceleration
AnswerB

DMS supports online migration with ongoing replication, minimizing downtime.

Why this answer

AWS Database Migration Service (DMS) supports ongoing replication and can perform live migrations with minimal downtime. AWS Snowball is for offline data transfer. S3 Transfer Acceleration speeds up uploads to S3.

Direct Connect establishes dedicated network connections but is not a migration service.

357
MCQeasy

An SAP administrator notices that the application logs show repeated authentication failures from a specific IP address. The SAP application is hosted on an EC2 instance behind an Application Load Balancer. What AWS service can be used to block traffic from that IP at the network level?

A.Use Amazon CloudFront with a geo-restriction to block the IP.
B.Use AWS WAF to create an IP set and block rule, associated with the ALB.
C.Update the security group of the EC2 instance to deny traffic from that IP.
D.Add a network ACL rule to the subnet to deny traffic from that IP.
AnswerB

AWS WAF can inspect source IP and block requests at the ALB level.

Why this answer

AWS WAF can be associated with an Application Load Balancer to create IP sets and block rules that filter traffic at the network level (Layer 7). Option A is incorrect because CloudFront geo-restriction blocks by country, not by individual IP address. Option C is incorrect because security groups are stateful and, when an ALB is used, the security group sees traffic from the ALB's private IPs, not the original client IP, so it cannot block the specific IP.

Option D is incorrect because network ACLs are stateless and applied at the subnet level; while they can block IPs, they are less targeted and more complex than using AWS WAF directly with the ALB.

358
MCQhard

A company is running SAP HANA in a multi-node scale-out configuration on AWS. The cluster uses AWS Placement Groups with the 'cluster' placement strategy. The system is experiencing network latency between nodes. Which change should the company make to reduce latency?

A.Change the placement group to 'spread' to reduce interference.
B.Use larger instance sizes to increase network bandwidth.
C.Enable Enhanced Networking (ENA) on all instances in the cluster.
D.Use EBS-optimized instances to improve storage performance.
AnswerC

ENA provides higher throughput and lower latency for inter-node communication.

Why this answer

Enabling Enhanced Networking (ENA) on all instances reduces network latency and jitter by offloading network processing to dedicated hardware on the Elastic Network Adapter. For SAP HANA scale-out clusters requiring low-latency inter-node communication, ENA provides higher packet-per-second performance and lower latency compared to the default Xen-net driver, directly addressing the latency issue in the cluster placement group.

Exam trap

The trap here is that candidates confuse bandwidth with latency, assuming larger instances or storage optimizations will fix network latency, when the real fix is reducing driver overhead via Enhanced Networking.

How to eliminate wrong answers

Option A is wrong because changing from 'cluster' to 'spread' placement would increase latency by placing instances on separate hardware racks, which is the opposite of what is needed for low-latency inter-node communication. Option B is wrong because larger instance sizes increase network bandwidth but do not inherently reduce latency; latency is primarily affected by network path and driver overhead, not bandwidth. Option D is wrong because EBS-optimized instances improve storage I/O performance by dedicating bandwidth to Amazon EBS, which does not affect network latency between nodes in the cluster.

359
MCQhard

An SAP on AWS environment uses a shared file system via Amazon EFS for SAP transport files. The EFS file system is mounted on multiple EC2 instances. Users report that file operations are slow during peak hours. Which action should be taken to improve performance?

A.Enable EFS Provisioned Throughput mode and increase throughput
B.Migrate to Amazon EBS with Multi-Attach enabled
C.Move the transport files to Amazon S3 and use S3FS
D.Increase the number of EC2 instances to distribute the load
AnswerA

Provisioned Throughput provides consistent high throughput for demanding workloads.

Why this answer

Enabling EFS Provisioned Throughput mode allows you to increase throughput beyond the baseline, which can alleviate performance issues during peak hours. Option B is incorrect because Amazon EBS with Multi-Attach is limited to a maximum of 16 instances and is not intended for large-scale shared file systems like SAP transport directories. Option C is incorrect because Amazon S3 does not provide a POSIX-compliant file system; S3FS introduces additional overhead and may not meet performance or compatibility requirements for SAP transport files.

Option D is incorrect because increasing the number of EC2 instances does not improve EFS throughput; EFS performance is determined by the provisioned throughput and file system size.

360
Multi-Selectmedium

A company is migrating an SAP HANA database to AWS. Which TWO configurations are required to ensure high availability for the SAP HANA database in a multi-AZ setup?

Select 2 answers
A.Deploy SAP HANA System Replication across two Availability Zones.
B.Use a single EBS volume with synchronous replication to both nodes.
C.Configure EBS Multi-Attach to allow both HANA instances to share the same data volume.
D.Implement a cluster manager such as Pacemaker to orchestrate failover.
E.Place an Application Load Balancer in front of the HANA database endpoints.
AnswersA, D

SAP HANA System Replication replicates data between separate HANA instances in different AZs for high availability.

Why this answer

SAP HANA System Replication (HSR) is the native mechanism for replicating data between primary and secondary HANA instances across Availability Zones, ensuring synchronous or asynchronous data consistency. This is the foundational requirement for high availability in a multi-AZ setup, as it provides real-time data replication to a standby node in a different AZ.

Exam trap

The trap here is that candidates often confuse network-level load balancers (like ALB) with database-specific failover mechanisms, or assume EBS features like Multi-Attach or replication can substitute for HANA-native replication and cluster management.

361
MCQeasy

A company is running SAP Business Suite on AWS and needs to back up the SAP HANA database daily. Which AWS service can be used to automate HANA backups to Amazon S3?

A.AWS Storage Gateway
B.Amazon EBS snapshots
C.AWS Backup
D.AWS DataSync
AnswerC

AWS Backup can orchestrate SAP HANA backups to S3 with application consistency.

Why this answer

AWS Backup is the correct service because it provides a fully managed, policy-based backup solution that natively supports SAP HANA databases running on Amazon EC2. It automates the creation, retention, and deletion of HANA backups directly to Amazon S3 using the Backint agent, eliminating the need for custom scripts or manual intervention.

Exam trap

The trap here is that candidates often confuse AWS Backup with EBS snapshots, assuming that block-level snapshots are sufficient for database backups, but they fail to recognize that SAP HANA requires application-consistent backups managed through its own backup catalog and the Backint interface.

How to eliminate wrong answers

Option A is wrong because AWS Storage Gateway is a hybrid storage service for on-premises integration with AWS storage, not a backup automation service for SAP HANA; it cannot orchestrate HANA-specific backups or use the Backint interface. Option B is wrong because Amazon EBS snapshots capture the entire volume at the block level, which is not crash-consistent for a running SAP HANA database and does not support HANA's log backup or point-in-time recovery requirements; they also lack integration with HANA's backup catalog. Option D is wrong because AWS DataSync is designed for high-speed data transfer between on-premises storage and AWS, not for automating database backups; it cannot trigger HANA backup jobs or manage backup retention policies.

362
MCQhard

An SAP administrator notices that the SAP HANA database is running on an EC2 instance with a single EBS volume for /hana/data and /hana/log. The system is experiencing high latency during write operations. What is the most cost-effective design change to improve performance?

A.Create separate EBS volumes for /hana/data and /hana/log, attaching them to the instance
B.Use an Instance Store volume for /hana/data
C.Modify the EBS volume to use Provisioned IOPS (io2) with higher IOPS
D.Increase the size of the existing EBS volume to gain more throughput
AnswerA

Separating data and log volumes eliminates contention and improves write latency cost-effectively.

Why this answer

SAP HANA requires separate EBS volumes for /hana/data and /hana/log to avoid I/O contention. When both directories share a single volume, write operations to the log (sequential) and data (random) compete for the same queue depth and bandwidth, causing high latency. Separating them allows each workload to use dedicated IOPS and throughput, which is the most cost-effective fix without upgrading to premium volume types.

Exam trap

The trap here is that candidates often choose Provisioned IOPS (io2) or volume size increases, thinking more performance is needed, when the real issue is I/O contention from sharing a single volume between two distinct workload types.

How to eliminate wrong answers

Option B is wrong because Instance Store volumes are ephemeral and do not persist data across instance stops or terminations, making them unsuitable for SAP HANA database files that require durability. Option C is wrong because switching to Provisioned IOPS (io2) increases cost significantly without addressing the root cause of I/O contention between /hana/data and /hana/log; separation is more cost-effective. Option D is wrong because simply increasing the size of the existing EBS volume does not resolve the contention between the two workloads; throughput gains from size increases are marginal and do not eliminate queueing delays from mixed access patterns.

363
MCQhard

A company is running SAP Business Suite on AWS. The SAP application servers are behind an Application Load Balancer (ALB). Users are experiencing session timeouts because the ALB is distributing requests to different application servers. What should the company configure on the ALB to maintain session stickiness?

A.Use a Network Load Balancer instead of an Application Load Balancer.
B.Enable sticky sessions using the ALB-generated cookie.
C.Enable cross-zone load balancing on the ALB.
D.Enable path-based routing to route all requests from a user to the same server.
AnswerB

Sticky sessions ensure user requests go to the same server.

Why this answer

Enabling sticky sessions (session affinity) on an Application Load Balancer using the ALB-generated cookie (AWSALB) ensures that all requests from a user session are routed to the same target (SAP application server). This prevents session timeouts caused by requests being distributed to different servers, which would lose in-memory session state. The ALB-generated cookie is the simplest and most appropriate method for SAP Business Suite, as it does not require custom application code.

Exam trap

The trap here is that candidates often confuse cross-zone load balancing (which improves availability) with session stickiness, or they incorrectly assume that an NLB can provide the same cookie-based stickiness as an ALB, leading them to choose Option A or C instead of the correct sticky sessions configuration.

How to eliminate wrong answers

Option A is wrong because a Network Load Balancer (NLB) operates at Layer 4 and does not support HTTP/HTTPS session stickiness via cookies; it only provides source IP-based stickiness, which is less reliable for SAP sessions behind NAT or proxies. Option C is wrong because cross-zone load balancing distributes traffic evenly across targets in all Availability Zones but does not affect session stickiness; it can actually increase the chance of requests hitting different servers if sticky sessions are not enabled. Option D is wrong because path-based routing directs traffic based on URL paths, not user sessions; it cannot ensure that all requests from the same user go to the same server.

364
MCQhard

An SAP system on AWS is using an Oracle database. The company wants to implement automated backups to Amazon S3. Which AWS service should be used to orchestrate the backup process?

A.Amazon RDS for Oracle
B.AWS Backup
C.Amazon S3 Lifecycle policies
D.AWS Database Migration Service (DMS)
AnswerB

AWS Backup can automate backups of Oracle databases to S3.

Why this answer

AWS Backup is the correct service because it provides a fully managed, policy-driven backup solution that can orchestrate backups for SAP workloads running on Amazon EC2 with Oracle databases. It integrates directly with Amazon S3 for storing backup data and supports custom backup scripts via the AWS Backup API or AWS Lambda, enabling automated, scheduled backups without manual intervention.

Exam trap

The trap here is that candidates often confuse AWS Backup with Amazon RDS automated backups, assuming RDS can back up any Oracle database, when in fact RDS only manages its own database instances and cannot orchestrate backups for an Oracle database running on an EC2 instance.

How to eliminate wrong answers

Option A is wrong because Amazon RDS for Oracle is a managed database service that cannot be used to back up an Oracle database running on an EC2 instance (as in this SAP scenario); it is a separate service for RDS-managed databases, not for orchestrating backups of self-managed databases. Option C is wrong because Amazon S3 Lifecycle policies manage the lifecycle of objects already in S3 (e.g., transitioning to Glacier or deleting), but they do not orchestrate the backup process itself—they only act on data after it is stored. Option D is wrong because AWS Database Migration Service (DMS) is designed for migrating databases to AWS or between database engines, not for orchestrating ongoing automated backups to S3.

365
MCQhard

An organization is migrating a legacy application to AWS. The application requires a static IP address for client whitelisting. After migrating the application to an Application Load Balancer (ALB) with an Auto Scaling group, clients report connection failures. What should be done to resolve this issue?

A.Place an Nginx reverse proxy in front of the ALB with an Elastic IP.
B.Assign an Elastic IP to the ALB.
C.Configure the ALB to use a round-robin routing algorithm.
D.Replace the ALB with a Network Load Balancer (NLB) and assign an Elastic IP.
AnswerD

NLB supports static IP via Elastic IP.

Why this answer

The correct solution is to replace the ALB with a Network Load Balancer (NLB) and assign an Elastic IP. ALBs do not have static IP addresses; they use dynamic IPs that can change. NLBs support Elastic IPs, providing a fixed IP for client whitelisting.

Option A is incorrect because adding an Nginx reverse proxy introduces unnecessary complexity and still requires a static IP. Option B is wrong because you cannot assign an Elastic IP to an ALB. Option C is incorrect because the routing algorithm does not affect the IP address; the ALB's IPs remain dynamic.

366
MCQhard

A company is running a mission-critical SAP S/4HANA system on AWS in the us-east-1 region. The system uses a two-tier architecture with the SAP application server and HANA database on the same EC2 instance. The instance type is an r5.24xlarge with 12 x 2 TB gp3 EBS volumes striped using LVM. The HANA data volume is 10 TB. The company has a disaster recovery (DR) requirement with an RPO of 15 minutes and an RTO of 4 hours. The DR site must be in us-west-2. The company currently takes daily EBS snapshots of the data volume and copies them to us-west-2. However, they are not meeting the RPO. The operations team is considering implementing SAP HANA System Replication (HSR) asynchronously to the DR region. However, network latency between us-east-1 and us-west-2 averages 60 ms. The SAP HANA database has a heavy write workload, with average log writes of 500 MB/sec. The team is concerned that the replication may fall behind and cause data loss. What should the team do to meet the DR requirements while minimizing data loss?

A.Implement HSR asynchronously and also enable HANA log backups to an S3 bucket in us-west-2.
B.Switch to synchronous replication to ensure zero data loss.
C.Increase the HANA log buffer size to reduce the frequency of log flushes, so that less data is sent over the network.
D.Use HSR with multiple replicas in us-west-2 to improve replication speed.
AnswerA

Log backups provide an additional recovery point if replication lags.

Why this answer

Combining asynchronous HANA System Replication (HSR) with HANA log backups to an S3 bucket in us-west-2 provides a dual-layer protection strategy. Asynchronous HSR will replicate log changes in near real-time, but given the 60 ms latency and 500 MB/sec write workload, it may fall behind; the log backups act as a safety net to capture any log data that hasn't been replicated yet, allowing recovery with minimal data loss while still meeting the 15-minute RPO.

Exam trap

The trap here is that candidates assume asynchronous replication alone is sufficient for DR, but they overlook that under high latency and heavy write workloads, the replication lag can exceed the RPO, making a complementary log backup strategy essential to meet the recovery objectives.

How to eliminate wrong answers

Option B is wrong because synchronous replication requires sub-millisecond latency to avoid impacting application performance; with 60 ms latency between us-east-1 and us-west-2, synchronous HSR would cause severe write latency and likely timeouts, making it impractical for a heavy write workload. Option C is wrong because increasing the HANA log buffer size does not reduce the frequency of log flushes; log flushes are triggered by transaction commits and log buffer fullness, so a larger buffer only delays flushing but does not reduce the amount of data sent over the network per second, and it can increase data loss risk if the instance crashes before a flush. Option D is wrong because using multiple replicas in us-west-2 does not improve replication speed; HSR with multiple replicas adds overhead and complexity without addressing the fundamental latency bottleneck, and it does not reduce the risk of falling behind under high write loads.

367
MCQmedium

A company is running SAP on AWS and needs to back up their SAP HANA database daily. The backup must be stored cost-effectively and retained for 7 years for compliance. Which AWS service should be used for long-term backup storage?

A.Amazon S3 One Zone-IA
B.Amazon S3 Standard
C.Amazon S3 Glacier Deep Archive
D.Amazon EBS Snapshots
AnswerC

Most cost-effective for long-term archival.

Why this answer

Amazon S3 Glacier Deep Archive is the correct choice because it provides the lowest-cost storage for long-term archival data, with retrieval times ranging from 12 to 48 hours, which is acceptable for a daily backup retained for 7 years. This service is specifically designed for compliance and regulatory retention where infrequent access is expected, making it the most cost-effective option for the given requirements.

Exam trap

The trap here is that candidates often confuse 'long-term backup storage' with 'frequent access needs' and select Amazon S3 Standard or Amazon EBS Snapshots, overlooking the cost implications of retaining data for 7 years, or they mistakenly think S3 One Zone-IA is suitable for compliance data despite its lack of multi-AZ resilience and higher cost compared to Glacier Deep Archive.

How to eliminate wrong answers

Option A is wrong because Amazon S3 One Zone-IA is designed for infrequently accessed data that can be recreated if lost, but it does not provide the durability or cost efficiency needed for 7-year compliance retention, and it lacks the multi-AZ resilience required for critical backups. Option B is wrong because Amazon S3 Standard is optimized for frequently accessed data with low latency and high throughput, making it unnecessarily expensive for long-term archival storage that is rarely accessed. Option D is wrong because Amazon EBS Snapshots are incremental backups tied to specific EC2 instances and Availability Zones, and they are not designed for long-term, cost-effective archival storage; they also incur higher costs for long retention periods compared to S3 Glacier Deep Archive.

368
MCQhard

An SAP system on AWS is experiencing high CPU utilization on the application server during peak hours. The SAP administrator wants to add a new application server instance to distribute the load. Which AWS service should be used to automatically register the new instance with the existing SAP system's load balancer?

A.Auto Scaling group
B.AWS Lambda
C.Amazon SQS
D.AWS CloudFormation
AnswerA

Auto Scaling can automatically register new instances with a load balancer.

Why this answer

An Auto Scaling group can automatically launch new EC2 instances based on scaling policies (e.g., when CPU utilization exceeds a threshold) and, when configured with a lifecycle hook or a launch template that includes a user-data script, can register the new instance with the existing SAP system's load balancer (such as an Application Load Balancer or Classic Load Balancer). This ensures the new application server is automatically added to the load balancer target group, distributing incoming traffic without manual intervention.

Exam trap

The trap here is that candidates may confuse Auto Scaling groups with CloudFormation, thinking that CloudFormation can dynamically register instances, but CloudFormation is a provisioning tool that does not handle real-time auto-registration of instances with a load balancer.

How to eliminate wrong answers

Option B is wrong because AWS Lambda is a serverless compute service for running code in response to events, not a service for automatically registering instances with a load balancer; while it could be used in a custom solution, it is not the native AWS service designed for this purpose. Option C is wrong because Amazon SQS is a message queuing service for decoupling application components, not a service that manages instance registration with a load balancer. Option D is wrong because AWS CloudFormation is an infrastructure-as-code service for provisioning resources, but it does not automatically register new instances with a load balancer in real time; it would require manual or scheduled updates to the stack.

369
MCQhard

An SAP customer has a mission-critical system running on AWS. They need to ensure that the SAP application can survive an Availability Zone failure without manual intervention. The SAP application is stateless. The database is SAP HANA with System Replication. What is the most comprehensive architecture to achieve automatic failover?

A.Deploy the SAP application in an Auto Scaling group across multiple AZs and configure SAP HANA System Replication with automatic failover using AWS resources
B.Use Amazon Route 53 health checks to switch DNS to a standby instance in another AZ
C.Deploy the SAP application in an Auto Scaling group across two AZs and use Amazon RDS Multi-AZ for HANA
D.Deploy the SAP application behind an Application Load Balancer and use SAP HANA System Replication with manual failover scripts
AnswerA

Auto Scaling for app tier and HSR automatic failover for DB tier provide full automation.

Why this answer

It combines stateless SAP application auto-scaling across multiple Availability Zones (AZs) with SAP HANA System Replication (HSR) configured for automatic failover. HSR uses synchronous replication to keep the standby HANA database in sync, and when combined with AWS services like Amazon Route 53 health checks or a cluster manager (e.g., Pacemaker), the failover occurs automatically without manual intervention. This architecture ensures both the application and database tiers survive an AZ failure seamlessly.

Exam trap

The trap here is that candidates often assume Amazon RDS Multi-AZ supports SAP HANA, but RDS Multi-AZ is only available for Amazon Aurora, MySQL, MariaDB, Oracle, PostgreSQL, and SQL Server — not for SAP HANA, which requires native HSR for high availability.

How to eliminate wrong answers

Option B is wrong because Route 53 health checks alone only redirect DNS traffic to a standby instance; they do not handle the database failover or ensure the SAP HANA System Replication is automatic, leaving the database tier vulnerable. Option C is wrong because Amazon RDS Multi-AZ does not support SAP HANA; SAP HANA requires native HSR and is not available as an RDS managed service, so this option is technically invalid. Option D is wrong because it specifies manual failover scripts, which contradicts the requirement for automatic failover without manual intervention; the question explicitly demands no manual steps.

370
MCQhard

A company is designing a disaster recovery strategy for SAP S/4HANA. The primary site is in us-east-1 and the DR site is in us-west-2. The RPO must be less than 30 minutes and RTO less than 2 hours. Which approach meets these requirements?

A.Configure HANA System Replication in asynchronous mode with automatic takeover
B.Configure HANA System Replication in synchronous mode across regions
C.Take nightly backups to S3 and restore in DR
D.Use AWS Backup to copy daily snapshots to DR region
AnswerA

Async replication can meet <30 min RPO and with pre-provisioned DR instances, RTO <2 hours.

Why this answer

HANA System Replication in asynchronous mode with automatic takeover meets the RPO of less than 30 minutes and RTO of less than 2 hours. Asynchronous replication provides near-real-time data transfer across AWS regions with minimal impact on primary performance, and automatic takeover enables fast failover to the DR instance, satisfying the RTO requirement.

Exam trap

The trap here is that candidates confuse synchronous mode as more reliable for DR, but fail to recognize that cross-region latency makes synchronous replication impractical, while asynchronous mode with automatic takeover is the standard AWS-recommended approach for SAP HANA disaster recovery.

How to eliminate wrong answers

Option B is wrong because HANA System Replication in synchronous mode across regions introduces high latency and potential transaction blocking, making it impractical for cross-region setups and unable to meet the RPO/RTO without significant performance degradation. Option C is wrong because nightly backups to S3 cannot achieve an RPO of less than 30 minutes, as backups are taken only once per day, and restoring from S3 typically exceeds the 2-hour RTO due to data transfer and recovery time. Option D is wrong because AWS Backup copying daily snapshots to the DR region results in an RPO of at least 24 hours, far exceeding the 30-minute requirement, and snapshot restoration is slower than HANA System Replication failover.

371
MCQeasy

An SAP Basis administrator needs to monitor the performance of SAP HANA database using Amazon CloudWatch. Which of the following metrics should be monitored to detect potential CPU bottlenecks?

A.MemoryUtilization
B.DiskReadBytes / DiskWriteBytes
C.CPUUtilization
D.NetworkPacketsIn / NetworkPacketsOut
AnswerC

CPU utilization directly indicates the percentage of CPU capacity used.

Why this answer

(CPUUtilization) is the correct metric to monitor for detecting CPU bottlenecks in SAP HANA on Amazon CloudWatch. CPUUtilization directly measures the percentage of CPU capacity being used. High values indicate CPU contention.

Option A (MemoryUtilization) indicates memory pressure, not CPU. Option B (DiskReadBytes/DiskWriteBytes) indicates I/O activity. Option D (NetworkPacketsIn/NetworkPacketsOut) indicates network traffic, none of which directly measure CPU bottlenecks.

372
MCQmedium

A company is migrating its SAP HANA database to AWS. The database requires high I/O and low latency. Which storage option should be used for the /hana/data volume?

A.io2 EBS volume
B.gp3 EBS volume
C.Amazon S3
D.Amazon EFS
AnswerA

io2 EBS volumes provide high IOPS and low latency required for SAP HANA data.

Why this answer

The /hana/data volume for SAP HANA requires high I/O and low latency, which is best met by io2 EBS volumes. io2 volumes are provisioned IOPS SSD volumes designed for latency-sensitive transactional workloads, offering up to 64,000 IOPS per volume and 99.999% durability, making them ideal for SAP HANA data files.

Exam trap

The trap here is that candidates often confuse gp3's high baseline performance with suitability for production SAP HANA, but the exam expects knowledge that only io2 (or io1) volumes meet the strict latency and IOPS consistency requirements for /hana/data as per SAP's official guidance.

How to eliminate wrong answers

Option B (gp3 EBS volume) is wrong because gp3 volumes are general-purpose SSDs with baseline performance that may not sustain the consistently high IOPS and sub-millisecond latency required for SAP HANA /hana/data, especially under heavy write loads. Option C (Amazon S3) is wrong because S3 is an object storage service with higher latency and no file system semantics, making it unsuitable for database block-level storage. Option D (Amazon EFS) is wrong because EFS is a network file system (NFS) that introduces additional latency and throughput variability compared to block storage, and it is not supported for SAP HANA data volumes.

373
MCQmedium

An SAP administrator executed the AWS CLI command shown in the exhibit. The EC2 instance i-0abcd1234efgh5678 is a SAP HANA database server. Which statement about the storage configuration is correct?

A.The root volume (/dev/xvda) will persist after instance termination.
B.The volume /dev/sdf is an instance store volume.
C.The data volume (/dev/sdf) will persist after instance termination.
D.The instance is booting from an instance store volume.
AnswerC

The command sets DeleteOnTermination to false for /dev/sdf, ensuring the volume persists after termination.

Why this answer

/dev/sdf has DeleteOnTermination set to false, meaning it will not be deleted when the instance is terminated, preserving the data. Option A is incorrect because /dev/xvda will be deleted. Option B is incorrect because /dev/sdf is an EBS volume, not an instance store volume.

Option D is incorrect because the command only shows block device mappings, not the root device type.

374
MCQhard

A company runs SAP Business Suite on AWS. They notice that their SAP application servers are not evenly distributing load across multiple instances. They have configured an Application Load Balancer (ALB) in front of the SAP Web Dispatchers. What is the MOST likely cause of uneven load distribution?

A.Sticky sessions (session stickiness) are enabled on the ALB.
B.The ALB health check interval is too short.
C.Cross-zone load balancing is enabled.
D.The ALB is using the least outstanding requests routing algorithm.
AnswerA

Sticky sessions cause uneven distribution with long-lived sessions.

Why this answer

When sticky sessions (session stickiness) are enabled on an Application Load Balancer, the ALB uses a cookie to bind a client's session to a specific target (SAP Web Dispatcher). This prevents the load balancer from distributing subsequent requests from that client to other healthy targets, causing an uneven distribution of load across the SAP application servers, especially if a few clients generate a disproportionate number of requests.

Exam trap

The trap here is that candidates often assume sticky sessions are always beneficial for stateful applications, but they fail to recognize that sticky sessions directly contradict the goal of even load distribution by pinning clients to specific targets.

How to eliminate wrong answers

Option B is wrong because a short health check interval would cause the ALB to mark targets as unhealthy more frequently, potentially removing them from the rotation, but it would not cause uneven distribution of load across healthy instances; it would simply reduce the number of available targets. Option C is wrong because cross-zone load balancing is enabled by default on ALBs and actually improves load distribution by evenly routing traffic across all targets in all enabled Availability Zones, so it would not cause uneven load. Option D is wrong because the least outstanding requests routing algorithm is designed to send traffic to the target with the fewest pending requests, which actively promotes even load distribution, not uneven distribution.

375
MCQeasy

A company is migrating a web application to AWS and wants to minimize latency for global users. Which AWS service should be used to cache static content at edge locations?

A.AWS WAF
B.Amazon S3 Transfer Acceleration
C.AWS Global Accelerator
D.Amazon CloudFront
AnswerD

CDN caches content at edge locations.

Why this answer

Amazon CloudFront is a content delivery network (CDN) that caches content at edge locations, reducing latency for global users. AWS Global Accelerator (Option C) improves performance by routing traffic to optimal endpoints but does not cache content. Amazon S3 Transfer Acceleration (Option B) speeds up uploads to S3 but does not cache at edge for delivery.

AWS WAF (Option A) is a web application firewall and does not cache content.

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