AWS Certified SAP on AWS Specialty PAS-C01 PAS-C01 Questions 1726–1733 | Page 24/24

1726

MCQhard

An SAP Basis team is troubleshooting a performance issue on an SAP HANA database running on AWS. The HANA index server is consuming high CPU. The team suspects that the underlying EC2 instance is throttled. Which CloudWatch metric should be checked to confirm CPU throttling?

A.CPUUtilization

B.NetworkIn

C.CPUCreditBalance

D.DiskReadOps

AnswerC

Indicates CPU throttling for T2/T3 instances.

Why this answer

Option B is correct because CPUCreditBalance indicates CPU throttling for burstable instances. Option A is wrong because CPUUtilization shows usage, not throttling. Option C is wrong because NetworkIn is not related.

Option D is wrong because DiskReadOps is not related.

Full explanation →

1727

Multi-Selectmedium

A company is designing an SAP environment on AWS and needs to ensure high availability for SAP HANA. Which TWO AWS services or features are commonly used to achieve this? (Choose TWO.)

Select 2 answers

A.Amazon EFS with Multi-AZ mount targets

B.Amazon S3 cross-region replication

C.Amazon Route 53 with failover routing

D.SAP HANA system replication across Availability Zones

E.AWS Global Accelerator with endpoint weights

AnswersC, D

Route 53 can redirect traffic to the secondary HANA instance upon failure.

Why this answer

Amazon Route 53 with failover routing is correct because it allows DNS-based routing to redirect traffic to a secondary SAP HANA instance in another Availability Zone if the primary fails. This is a common pattern for achieving high availability for SAP HANA on AWS, as it works in conjunction with SAP HANA system replication to provide automatic failover at the DNS level.

Exam trap

The trap here is that candidates often confuse high availability with disaster recovery, leading them to select cross-region replication (option B) or Global Accelerator (option E) instead of recognizing that within a single region, SAP HANA system replication and Route 53 failover routing are the standard AWS services for high availability.

Full explanation →

1728

MCQeasy

A company runs SAP Business Warehouse (BW) on AWS. The BW system uses a single HANA database instance on an r5.12xlarge EC2 instance with 4 EBS io1 volumes for data. The company has noticed that during peak data loads, the CPU utilization on the HANA instance reaches 90%. An SAP consultant recommends increasing the CPU capacity. The company wants to minimize costs and avoid over-provisioning. What is the most cost-effective solution to increase CPU capacity for the HANA instance?

A.Change the EC2 instance type to a larger size in the r5 family, such as r5.16xlarge, to add more vCPUs.

B.Increase the provisioned IOPS on the EBS volumes to improve I/O performance.

C.Deploy additional HANA worker nodes and configure a scale-out system.

D.Migrate the HANA instance to a compute-optimized instance family, such as c5.

AnswerA

Instance resizing is simple and cost-effective.

Why this answer

Option A is correct because the simplest and most cost-effective way to increase CPU capacity is to resize the EC2 instance to a larger instance type within the same family (e.g., r5.16xlarge or r5.24xlarge). This provides more vCPUs without needing to change the architecture. Option B is incorrect because increasing EBS volume IOPS does not add CPU capacity.

Option C is incorrect because launching additional HANA instances for scale-out is complex and more expensive. Option D is incorrect because using a different instance family (e.g., compute-optimized) may require reconfiguration and is not as straightforward as resizing within the same family.

Full explanation →

1729

Multi-Selecthard

An SAP system on AWS is experiencing performance issues due to high I/O wait times on the database server. The database runs on an EC2 instance with EBS volumes. Which THREE actions can improve the I/O performance? (Choose THREE.)

Select 3 answers

A.Reduce the volume size to increase the burst duration

B.Use instance store SSDs for the database logs

C.Use an EBS-optimized EC2 instance

D.Increase the provisioned IOPS of the EBS volumes

E.Configure RAID 0 of multiple gp2 volumes

AnswersB, C, D

Instance store offers low latency for temporary data.

Why this answer

Option A, Option C, and Option D are correct. Using EBS-optimized instances ensures dedicated bandwidth. Increasing EBS IOPS provides more throughput.

Using instance store SSDs offers very low latency. Option B is wrong because RAID 0 of gp2 volumes still uses burst credits. Option E is wrong because reducing volume size decreases performance.

Full explanation →

1730

MCQeasy

A company runs SAP NetWeaver on AWS and needs to implement a disaster recovery (DR) strategy with a Recovery Point Objective (RPO) of 15 minutes and Recovery Time Objective (RTO) of 2 hours. The primary region is us-east-1 and DR region is us-west-2. Which AWS service should be used for SAP HANA database replication?

A.AWS Database Migration Service (DMS)

B.SAP HANA System Replication

C.AWS Storage Gateway

D.EBS Snapshots

AnswerB

HANA System Replication provides synchronous or asynchronous replication meeting the RPO.

Why this answer

SAP HANA System Replication with AWS is the recommended approach for database-level DR with low RPO and RTO. AWS Database Migration Service is for migration, not ongoing replication. Storage Gateway is not for HANA replication.

EBS Snapshots have higher RPO.

Full explanation →

1731

Multi-Selectmedium

Which TWO of the following are best practices for monitoring SAP on AWS? (Choose 2)

Select 2 answers

A.Set up Amazon CloudWatch alarms for HANA database metrics

B.Use SAP EarlyWatch Alert to monitor the SAP system

C.Disable detailed monitoring on EC2 instances to reduce costs

D.Manually review system logs weekly

E.Take daily EBS snapshots of the HANA data volume

AnswersA, B

CloudWatch alarms provide automated notification of metric thresholds.

Why this answer

Options A and C are correct. A: CloudWatch alarms on HANA metrics help detect issues early. C: SAP EarlyWatch Alert provides proactive monitoring.

Option B is wrong because disabling logs reduces visibility. Option D is wrong because manual monitoring is not scalable. Option E is wrong because snapshots are for backup, not monitoring.

Full explanation →

1732

MCQhard

A company is running SAP Business Suite on AWS and wants to improve the disaster recovery posture by replicating data to another AWS Region. The solution must have a recovery time objective (RTO) of less than 15 minutes and a recovery point objective (RPO) of less than 5 minutes. Which approach should they take?

A.Configure SAP HANA system replication with synchronous mode.

B.Use AWS Database Migration Service for continuous replication.

C.Use Amazon S3 cross-Region replication for transaction logs.

D.Use AWS Backup to create cross-Region EBS snapshots every 5 minutes.

AnswerA

Synchronous HANA replication ensures data is copied to the secondary before commit, achieving low RPO and RTO.

Why this answer

Option D is correct because SAP HANA system replication with synchronous mode provides near-zero RPO and automatic failover in minutes. Option A is wrong because EBS snapshots have higher RPO (scheduled). Option B is wrong because cross-Region replication of S3 is slower.

Option C is wrong because Database Migration Service is for migrations, not real-time replication.

Full explanation →

1733

MCQhard

An SAP HANA system on AWS is experiencing slow backup performance when using Backint to Amazon S3. The backup throughput is only 200 MB/s. The environment uses an m5.24xlarge instance with 25 Gbps network. What is the most likely cause and solution?

A.The network bandwidth is insufficient. Enable S3 Transfer Acceleration.

B.The EBS volumes are too slow. Use instance store volumes for temporary storage.

C.The S3 bucket is not using multipart upload. Enable multipart upload on the bucket.

D.The Backint agent is configured with too few parallel streams. Increase the number of streams in the Backint configuration.

AnswerD

More streams increase parallelism and throughput.

Why this answer

The most likely cause is that the Backint agent is configured with too few parallel streams. Backint for SAP HANA on AWS uses multiple concurrent streams to upload backup data to S3; if the stream count is too low, it cannot saturate the available network bandwidth, resulting in throughput far below the instance's 25 Gbps capacity. Increasing the number of parallel streams in the Backint configuration allows the backup to fully utilize the network and achieve higher throughput.

Exam trap

The trap here is that candidates may assume network bandwidth or storage I/O is the bottleneck, when in fact the Backint agent's parallel stream count is a common misconfiguration that limits throughput despite ample infrastructure resources.

How to eliminate wrong answers

Option A is wrong because the m5.24xlarge instance has 25 Gbps network bandwidth, which is more than sufficient for 200 MB/s (1.6 Gbps); S3 Transfer Acceleration would not help as the bottleneck is not network latency or bandwidth. Option B is wrong because EBS volumes are not directly involved in Backint backups to S3; Backint streams data directly from memory to S3, and instance store volumes are not used for temporary storage in this workflow. Option C is wrong because Backint inherently uses multipart upload for large backups; enabling multipart upload on the bucket is not a configurable setting and is already the default behavior for S3 objects over 5 GB.

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AWS Certified SAP on AWS Specialty PAS-C01 (PAS-C01) — Questions 1726–1733