PAS-C01 Operations and Maintenance Practice Test 30 — 15 Questions

Question 1

A company runs SAP on AWS and wants to automate the patching of SAP application servers. The servers are in an Auto Scaling group. Which THREE steps should be included in the automation?

Accepted Answer

Update the Auto Scaling group's launch configuration or launch template to use the new AMI.. Options A, B, and D are correct because the recommended approach for patching SAP application servers in an Auto Scaling group is to use immutable updates: create a new AMI with patches (B), update the launch configuration/template to reference the new AMI (A), and then perform an instance refresh to gradually replace instances (D). This minimizes downtime. Option C (using Systems Manager to patch running instances) is not recommended for Auto Scaling groups because it can lead to inconsistent state and doesn't benefit from the rolling update mechanism. Option E (terminating all instances at once) would cause downtime.

Answer

Use AWS Systems Manager to apply patches to running instances.

Answer

Terminate all existing instances at once.

Question 2

An SAP administrator is setting up monitoring for an SAP HANA database. Which TWO metrics should be monitored from the HANA database using Amazon CloudWatch?

Accepted Answer

CPU utilization of the HANA process. Options A and E are correct because CPU utilization and memory usage (used memory / total memory) are critical for SAP HANA performance and are directly available from the HANA database via Amazon CloudWatch. Option B (SAPS) is an application performance standard, not a native CloudWatch metric. Option C (EBS volume queue length) is an infrastructure-level metric for storage, not HANA-specific. Option D (Network packet loss) is a network metric not directly from HANA.

Answer

SAPS (SAP Application Performance Standard)

Answer

EBS volume queue length

Answer

Network packet loss

Question 3

A company runs a critical SAP ERP system on AWS. The architecture includes an SAP HANA database on an r5.24xlarge instance (with 768 GB RAM) in us-east-1a, and multiple SAP application servers in an Auto Scaling group across two Availability Zones (us-east-1a and us-east-1b). The database uses EBS volumes: two 1 TB gp3 volumes for data, one 500 GB gp3 for log, and one 100 GB gp3 for backup. The system has been running without issues for months. At 3:00 PM, the operations team receives alerts from Amazon CloudWatch that the HANA database instance's CPU utilization is at 100%, memory usage is at 95%, and the disk queue length for the log volume is consistently above 10. The SAP application is experiencing intermittent timeouts. The team checks the HANA studio and sees that there are many long-running queries and that the log volume is almost full (95% used). The database backups are scheduled to run at 2:00 AM and completed successfully. There have been no changes to the system or workload recently. The team suspects a performance degradation. What is the MOST likely cause of the issue?

Accepted Answer

The log volume is almost full, causing HANA to stall transaction processing.. The most likely cause is that the HANA log volume is almost full (95% used). When the log area reaches capacity, SAP HANA suspends transaction processing to prevent log overflow, leading to timeouts and increased CPU/memory usage as transactions queue. Option D correctly identifies this. Option A is incorrect because HANA's memory management is dynamic and not constrained by global.ini limits. Option B is incorrect because the gp3 volumes have baseline IOPS of 3000, which is sufficient, and the symptom is log volume full, not I/O performance. Option C is incorrect because backups completed at 2:00 AM, hours before the issue.

Answer

The HANA database has reached its memory limit due to the global.ini allocation.

Answer

The gp3 volume's baseline IOPS are insufficient for the current workload.

Answer

A backup job is running and consuming CPU and I/O resources.

Question 4

A company runs an SAP HANA database on an EC2 instance in a single Availability Zone. The database experiences performance degradation during peak hours. Which action should be taken to improve performance without changing the instance type?

Accepted Answer

Enable Enhanced Networking on the EC2 instance. Enabling Enhanced Networking on the EC2 instance reduces network latency and improves throughput, which is critical for SAP HANA performance during peak hours. Option A is wrong because increasing provisioned IOPS can help with storage performance but does not address network bottlenecks. Option B is wrong because detailed CloudWatch monitoring provides more metrics but does not directly improve performance. Option C is wrong while gp3 volumes offer better baseline performance, switching to gp3 may not fully resolve network-related performance degradation without also enabling Enhanced Networking.

Answer

Increase the provisioned IOPS on the EBS volumes

Answer

Enable detailed CloudWatch monitoring

Answer

Change the EBS volumes to gp3

Question 5

An SAP administrator needs to automate the daily backup of an SAP HANA database running on EC2. Which AWS service should be used to schedule and manage the backup process?

Accepted Answer

AWS Backup. AWS Backup is the correct service because it provides a centralized backup service that can schedule and manage backups for EC2 instances, including SAP HANA databases running on EC2. It supports automated backups, retention policies, and integration with SAP HANA. Option A is incorrect because Amazon S3 Lifecycle policies manage the lifecycle of objects in S3, not database backups. Option C is incorrect because AWS Data Pipeline is used for data movement and transformation, not backup scheduling. Option D is incorrect because Amazon CloudWatch Events can trigger actions based on events but does not manage backup processes itself.

Answer

Amazon S3 Lifecycle policies

Answer

AWS Data Pipeline

Answer

Amazon CloudWatch Events

Question 6

A company runs SAP S/4HANA on AWS using an ASCS and PAS cluster with SUSE Linux Enterprise Server. The cluster fails over unexpectedly several times a day. What is the most likely cause and solution?

Accepted Answer

Cluster quorum loss due to insufficient votes; add a third node or configure a witness. In a two-node SAP cluster, if the quorum vote count is insufficient, the cluster may lose quorum and trigger unnecessary failovers. The solution is to add a third node as a quorum device or configure a witness (e.g., an S3 bucket as a quorum disk in SUSE HAE). Option A is incorrect because high network latency would cause communication delays, not frequent failovers. Option C is incorrect because insufficient memory would cause performance issues, not cluster failovers. Option D is incorrect because incorrect ASCS instance configuration would cause SAP startup failures, not cluster failovers.

Answer

High network latency between nodes; use placement groups

Answer

Insufficient memory on the cluster nodes; increase memory

Answer

Incorrect ASCS instance configuration; verify SAP profiles

Question 7

An SAP system administrator notices that the SAP HANA database backup job to Amazon S3 is failing intermittently. The backup script uses the AWS CLI. Which step should be taken to diagnose the issue?

Accepted Answer

Check AWS CloudTrail logs for S3 API call errors. AWS CloudTrail logs record API calls made to Amazon S3, including errors, which can help diagnose why the backup job is failing. Option A is wrong because S3 Transfer Acceleration only improves upload speed, not reliability. Option C is wrong because S3 Lifecycle policies manage object expiration and are unrelated to diagnosing backup failures. Option D is wrong because switching from AWS CLI to SDK does not address the root cause; diagnostics should focus on API call errors, permissions, or network issues.

Answer

Enable S3 Transfer Acceleration on the bucket

Answer

Configure S3 Lifecycle policy to expire incomplete multipart uploads

Answer

Modify the backup script to use the AWS SDK instead of CLI

Question 8

An SAP system is deployed on EC2 instances across multiple Availability Zones. Which AWS service should be used to automatically distribute incoming traffic across the SAP application servers?

Accepted Answer

Application Load Balancer. An Application Load Balancer distributes HTTP/HTTPS traffic across multiple targets in different Availability Zones. Route 53 (Option B) is a DNS service, not a load balancer. Network Load Balancer (Option C) is for TCP/UDP traffic. CloudFront (Option D) is a CDN.

Answer

Amazon Route 53

Answer

Network Load Balancer

Answer

Amazon CloudFront

Question 9

A company runs SAP Business Suite on AWS. The SAP system frequently crashes with a 'JAVA out of memory' error. The application server is an EC2 instance with 32 GB RAM. Which solution should be implemented to prevent this issue?

Accepted Answer

Configure Amazon CloudWatch alarms to trigger EC2 Auto Scaling based on memory utilization. By configuring Amazon CloudWatch alarms to trigger EC2 Auto Scaling based on memory utilization, the system can automatically add more application server instances when memory usage is high. This distributes the load and prevents any single instance from running out of Java heap space. Option A is incorrect because manually increasing the EC2 instance memory is a temporary workaround that does not scale automatically. Option B is incorrect as reducing the Java heap size would increase the likelihood of out-of-memory errors. Option C is incorrect because increasing swap space can cause severe performance degradation and does not resolve the underlying memory shortage.

Answer

Increase the EC2 instance memory to 64 GB

Answer

Reduce the Java heap size in the SAP system

Answer

Increase the swap space on the EC2 instance

Question 10

An SAP system administrator wants to monitor the CPU and memory usage of SAP HANA database instances. Which AWS service should be used to collect and visualize these metrics?

Accepted Answer

Amazon CloudWatch Agent. The Amazon CloudWatch Agent can collect memory metrics from EC2 instances, including SAP HANA databases. Option A is wrong because CloudTrail is for API auditing, not metric collection. Option C is wrong because Systems Manager Run Command is for executing scripts, not continuous monitoring. Option D is wrong because standard CloudWatch metrics do not include memory usage by default; memory metrics require the CloudWatch Agent.

Answer

AWS CloudTrail

Answer

AWS Systems Manager Run Command

Answer

Amazon CloudWatch metrics

Question 11

An SAP system is running on EC2 instances with EBS volumes. The administrator wants to automate the creation of point-in-time snapshots of the EBS volumes for disaster recovery. Which AWS service is best suited for this?

Accepted Answer

Amazon Data Lifecycle Manager (DLM). Amazon Data Lifecycle Manager (DLM) is specifically designed to automate the creation, retention, and deletion of EBS snapshots for backup and disaster recovery. Option A (AWS Backup) can also back up EBS volumes but is a broader service; DLM is more tailored for EBS snapshot lifecycle management. Option B (Amazon S3 Lifecycle policies) manages object lifecycle in S3, not EBS snapshots. Option D (AWS CloudFormation) provisions infrastructure but does not directly automate snapshot creation.

Answer

AWS Backup

Answer

Amazon S3 Lifecycle policies

Answer

AWS CloudFormation

Question 12

A company recently migrated SAP ERP to AWS. The SAP application logs indicate repeated 'ORA-1555 snapshot too old' errors in the Oracle database. Which AWS-specific parameter could be causing this?

Accepted Answer

EBS volume queue depth is too low causing I/O throttling. 'ORA-1555 snapshot too old' errors occur when Oracle needs to read consistent undo data that has been overwritten. In AWS, EBS volume queue depth that is too low can cause I/O throttling, leading to longer transaction times and increased likelihood of undo segment overwrites before a query completes. Option A is wrong because Enhanced Networking affects network throughput, not storage I/O. Option B is incorrect because while Oracle DB parameters like UNDO_RETENTION can influence this error, the question asks for an AWS-specific parameter. Option C is wrong because EBS snapshots are point-in-time copies and do not directly cause live transaction rollbacks.

Answer

Enhanced Networking is disabled

Answer

Incorrect Oracle DB parameter settings

Answer

EBS snapshot schedule is too frequent

Question 13

Which TWO AWS services can be used to perform automated backups of an SAP HANA database running on EC2? (Choose 2.)

Accepted Answer

AWS Backup. The correct options are D (AWS Backup) and E (Amazon Data Lifecycle Manager). AWS Backup provides automated backup for SAP HANA databases through its integration with SAP HANA Backup. Amazon Data Lifecycle Manager (DLM) automates the creation, retention, and deletion of EBS snapshots, which can be used for backing up HANA data. CloudWatch Events (A) can trigger responses but does not perform backups. Amazon S3 (B) is object storage, not a backup automation service. AWS CloudTrail (C) is for auditing API calls, not backups.

Answer

Amazon CloudWatch Events

Answer

Amazon S3

Answer

AWS CloudTrail

Question 14

Which THREE steps should be taken when recovering an SAP system from an EBS snapshot? (Choose 3.)

Accepted Answer

Attach the new volume to the EC2 instance. When recovering an SAP system from an EBS snapshot, the correct steps are: first, create a new EBS volume from the snapshot (E); then, attach that volume to the EC2 instance (A); and finally, mount the volume on the appropriate mount point (C). Option B (terminate the existing EC2 instance) is incorrect because you can attach the new volume to the running instance without terminating it. Option D (reconfigure the S3 bucket for backup storage) is unrelated to recovering from an EBS snapshot.

Answer

Terminate the existing EC2 instance

Answer

Reconfigure the S3 bucket for backup storage

Question 15

Which TWO AWS services can be used to automate the restart of an SAP application server when it becomes unresponsive? (Choose 2.)

Accepted Answer

Amazon CloudWatch alarm with an EC2 action to recover the instance. To automate the restart of an SAP application server when unresponsive, two appropriate AWS services are Amazon CloudWatch alarms with an EC2 action to recover the instance (Option B) and AWS Systems Manager Automation documents (Option C). A CloudWatch alarm can monitor a metric (e.g., StatusCheckFailed) and trigger an EC2 Recover action, which stops and starts the instance to restore service. Systems Manager Automation provides pre-defined or custom runbooks to perform automated remediation steps, including restarting services or instances. Option A (Amazon ECS) is for container orchestration, not for EC2 instance recovery. Option D (EC2 Auto Scaling) can replace instances via health checks but is not designed to restart the same instance. Option E (Amazon EventBridge with Lambda) could be used but requires custom coding and is not a native automated restart solution like the two correct options.

Answer

Amazon ECS service auto-recovery

Answer

EC2 Auto Scaling group with a health check

Answer

Amazon EventBridge with a Lambda function