PAS-C01 Practice Test 6 — 10 Questions

Question 1

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

Accepted Answer

Amazon CloudWatch. 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.

Answer

AWS Config

Answer

AWS Shield

Answer

AWS CloudTrail

Question 2

A systems administrator is troubleshooting an SAP HANA database that runs on an EC2 instance. The exhibit shows the block device mappings of the EC2 instance. The administrator needs to ensure that the data volumes (/dev/sdf and /dev/sdg) are not accidentally terminated when the instance is terminated. However, the administrator also wants to take a nightly snapshot of these volumes using AWS Backup. Which of the following is a potential issue with the current configuration?

Accepted Answer

The volumes are not tagged, so AWS Backup may not automatically include them in backup plans.. AWS Backup uses resource tags to identify which resources to include in backup plans. If the volumes /dev/sdf and /dev/sdg are not tagged with the appropriate key-value pairs that match the backup plan's tag-based selection criteria, AWS Backup will not automatically discover and include them in nightly snapshots. This can lead to missing backups for critical SAP HANA data volumes.

Answer

The volume /dev/sdf has DeleteOnTermination set to false, which will cause data persistence issues.

Answer

The device names /dev/sdf and /dev/sdg are reserved for NVMe instance storage and should not be used for EBS.

Answer

The volumes are attached to a running instance, which prevents snapshot creation.

Question 3

A company is migrating its SAP HANA database to AWS. The database is 3 TB and runs on a dedicated physical server. The company wants to use a HANA-certified EC2 instance. Which instance type should the company choose?

Accepted Answer

x1e.32xlarge. The x1e.32xlarge instance is SAP HANA-certified and provides 1952 GB of memory, which is sufficient for a 3 TB HANA database when considering compression and overhead. The other options either lack sufficient memory or are not HANA-certified. Specifically, the i3.16xlarge (488 GB) is not HANA-certified for large instances, the m5.24xlarge (384 GB) has too little memory, and the r5.24xlarge (768 GB) also lacks the required capacity.

Answer

i3.16xlarge

Answer

m5.24xlarge

Answer

r5.24xlarge

Question 4

An SAP administrator is designing a backup strategy for SAP HANA on AWS. Which THREE practices should be implemented to ensure reliable backups?

Accepted Answer

Take consistent EBS snapshots of HANA volumes after quiescing the database. Consistent EBS snapshots of HANA volumes after quiescing the database ensure crash-consistent backups, which are essential for SAP HANA's data integrity. Quiescing flushes all in-memory data to disk and freezes I/O, allowing the snapshot to capture a point-in-time state that HANA can recover from without corruption. Without quiescing, snapshots may be inconsistent and lead to database failures during restore.

Answer

Store backups in Amazon S3 One Zone-IA

Answer

Disable encryption on backup targets to reduce latency

Question 5

An SAP system administrator notices that an SAP HANA database on AWS is experiencing high memory usage and slow query performance. The administrator wants to identify the root cause. Which Amazon CloudWatch metric should be analyzed first?

Accepted Answer

SwapUsage. SwapUsage is the correct metric to analyze first because high swap usage indicates that the system is running out of physical memory, causing it to use disk-based swap space. This can directly lead to slow query performance due to increased I/O and memory pressure. The other metrics are less directly related: CPUUtilization may not reflect memory issues, NetworkIn is unrelated to memory, and DiskQueueDepth relates to disk I/O, not memory.

Answer

NetworkIn

Answer

CPUUtilization

Answer

DiskQueueDepth

Question 6

During a migration of an SAP system, the team notices that the source system uses a custom kernel parameter that is not supported on the target Amazon EC2 instance. What should the migration team do?

Accepted Answer

Consult the SAP on AWS documentation for equivalent parameter settings.. When a custom kernel parameter is not supported on the target EC2 instance, the recommended approach is to consult the SAP on AWS documentation for equivalent or alternative parameter settings that achieve the same effect within AWS's supported configurations. Option A is incorrect because disabling the parameter in the source before migration could affect the SAP system's performance or functionality during migration. Option B is incorrect because changing the EC2 instance type may not necessarily support the parameter, and it might introduce other compatibility issues. Option D is incorrect because proceeding with an unsupported kernel parameter could lead to system instability or failure on AWS.

Answer

Disable the kernel parameter in the source before migration.

Answer

Change the EC2 instance type to one that supports the parameter.

Answer

Keep the same kernel parameter and proceed with the migration.

Question 7

An SAP system on AWS is experiencing increased latency in database queries. The operations team suspects that the RDS for Oracle instance is hitting its maximum connections limit. Which CloudWatch metric should be monitored to confirm this?

Accepted Answer

DatabaseConnections. The DatabaseConnections metric in Amazon CloudWatch tracks the number of database sessions currently connected to the RDS for Oracle instance. When this metric approaches or reaches the value of the `max_connections` parameter (or the Oracle-specific `sessions` and `processes` limits), new connections are rejected, causing application-side latency as queries queue or fail. Monitoring this metric directly confirms whether the maximum connections limit is being hit.

Answer

CPUCreditBalance

Answer

SwapUsage

Answer

ReadIOPS

Question 8

Which TWO of the following are benefits of using SAP HANA System Replication (HSR) on AWS? (Choose 2.)

Accepted Answer

Supports replication across AWS Regions for disaster recovery. SAP HANA System Replication (HSR) supports asynchronous replication across AWS Regions, enabling disaster recovery by maintaining a secondary system in a different geographic region. This allows failover to the secondary site if the primary region becomes unavailable, meeting RPO and RTO requirements for cross-region DR scenarios.

Answer

Improves query performance by distributing workloads

Answer

Automatically scales storage based on database growth

Answer

Automatically load balances read queries between primary and secondary

Question 9

A company is migrating a multi-tier web application to AWS. The web tier uses sticky sessions. The application tier uses a shared session store. Which architecture ensures high availability and scalability?

Accepted Answer

Use an Application Load Balancer with sticky sessions and Amazon ElastiCache for session storage.. An Application Load Balancer (ALB) supports sticky sessions, and Amazon ElastiCache provides a scalable, low-latency, distributed session store that is shared across instances, ensuring high availability and scalability.
Option A is incorrect because storing sessions on each EC2 instance does not provide a shared session store; if an instance fails, its sessions are lost.
Option B is incorrect because while the Classic Load Balancer supports sticky sessions and RDS can be used as a session store, RDS is not optimized for high-throughput session data and the Classic Load Balancer lacks advanced features like path-based routing and is considered legacy.
Option D is incorrect because Amazon CloudFront is a content delivery network (CDN) and is not designed for session storage; S3 is object storage with higher latency, making it unsuitable for real-time session data.

Answer

Use an Application Load Balancer with sticky sessions enabled, and store sessions on each EC2 instance.

Answer

Use a Classic Load Balancer with sticky sessions and store sessions in RDS.

Answer

Use Amazon CloudFront with origin failover and store sessions in S3.

Question 10

A company runs SAP on AWS with a distributed system: an SAP Central Services (ASCS) instance, a primary application server (PAS), and additional dialog instances (DI). All instances are in a single Availability Zone. The company wants to implement high availability for the ASCS instance using a shared filesystem for the /sapmnt directory. The ASCS instance uses a single EBS volume for /sapmnt. The operations team plans to use a Network File System (NFS) solution to share /sapmnt between instances. Which approach should the team use to achieve a highly available shared filesystem?

Accepted Answer

Deploy Amazon EFS and mount it on all instances as /sapmnt.. Amazon EFS provides a managed NFS filesystem that is highly available and durable across multiple Availability Zones, eliminating the single point of failure. It can be mounted on multiple EC2 instances simultaneously, making it suitable for sharing /sapmnt. Option A is incorrect because Amazon FSx for Windows File Server is designed for Windows-based workloads, not Linux-based SAP systems. Option B is incorrect because instance store volumes are ephemeral and data is lost on instance stop/termination. Option C is incorrect because a single EBS volume cannot be attached to multiple instances simultaneously (except with a cluster filesystem like OCFS2, which is complex and not recommended for this use case).

Answer

Use Amazon FSx for Windows File Server to host the /sapmnt share.

Answer

Use an instance store volume on the ASCS instance and share it via NFS.

Answer

Create a secondary EBS volume and attach it to both the ASCS and PAS instances, then use a cluster-aware filesystem like OCFS2.