Question 347 of 1,733
Design of SAP Workloads on AWSmediumMultiple ChoiceObjective-mapped

PAS-C01 Design of SAP Workloads on AWS Practice Question

This PAS-C01 practice question tests your understanding of design of sap workloads on aws. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

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?

Question 1mediummultiple choice
Read the full NAT/PAT explanation →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Move to an r5n.24xlarge instance and use multiple io1 volumes in a RAID 0 stripe to increase throughput.

Option B is correct because 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.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use an Amazon FSx for Lustre file system as the HANA data volume for higher throughput.

    Why it's wrong here

    FSx for Lustre is not supported for SAP HANA data volumes.

  • Move to an r5n.24xlarge instance and use multiple io1 volumes in a RAID 0 stripe to increase throughput.

    Why this is correct

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

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increase the provisioned IOPS on the io1 volume to 32000 IOPS to reduce queue length.

    Why it's wrong here

    This does not increase throughput beyond the instance limit.

  • Switch to a gp3 volume with 16000 IOPS and 1000 MB/s throughput to reduce cost.

    Why it's wrong here

    gp3 throughput may be insufficient and still limited by instance bandwidth.

Common exam traps

Common exam trap: answer the scenario, not the keyword

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.

Detailed technical explanation

How to think about this question

The r5.8xlarge instance has a dedicated EBS bandwidth of 4750 Mbps, which is a hard limit shared across all attached EBS volumes. When the queue length peaks at 20, it indicates that the I/O requests are waiting for the EBS bandwidth to become available, not for the volume's IOPS. Using a RAID 0 stripe across multiple io1 volumes on a larger instance like r5n.24xlarge (which has 19,000 Mbps EBS bandwidth) allows the workload to utilize multiple network paths and volume-level throughput, effectively scaling performance linearly. This is a common pattern for SAP HANA on AWS, where the database's sequential write patterns during financial closing benefit from higher throughput rather than raw IOPS.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Related practice questions

Related PAS-C01 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Practice this exam

Start a free PAS-C01 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

FAQ

Questions learners often ask

What does this PAS-C01 question test?

Design of SAP Workloads on AWS — This question tests Design of SAP Workloads on AWS — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Move to an r5n.24xlarge instance and use multiple io1 volumes in a RAID 0 stripe to increase throughput. — Option B is correct because 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.

What should I do if I get this PAS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Last reviewed: Jun 11, 2026

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

Sign in to join the discussion.

This PAS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PAS-C01 exam.