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Design of SAP Workloads on AWSmediumMultiple ChoiceObjective-mapped

PAS-C01 Design of SAP Workloads on AWS Practice Question

A company runs SAP HANA on EC2 with EBS io1 volumes. The administrator notices that the disk queue depth is consistently high during peak hours, causing increased latency. The volume is 2 TB with 5000 provisioned IOPS. The instance is an r5.4xlarge with EBS bandwidth of 4750 Mbps. The database workload is write-intensive. The administrator wants to reduce latency without increasing costs significantly. Which action should the administrator take?

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

Increase the provisioned IOPS to 10,000

Increasing the provisioned IOPS to 10,000 directly addresses the high disk queue depth by allowing more I/O operations to be processed concurrently, thereby reducing latency. Option B is incorrect because EBS Multi-Attach is used to attach a volume to multiple EC2 instances simultaneously, but it does not improve queue depth or latency for a single instance write-intensive workload. Option C is incorrect because changing to gp3 with the same 5000 IOPS does not provide any performance improvement; gp3 has a baseline of 3000 IOPS and relies on burst credits, which is not suitable for sustained high write demands. Option D is incorrect because upgrading to an r5.8xlarge increases network and EBS bandwidth but does not increase the provisioned IOPS, so it does not resolve the queue depth issue and adds unnecessary cost.

Answer analysis

Option-by-option breakdown

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

  • Increase the provisioned IOPS to 10,000

    Why this is correct

    Higher IOPS reduces queue depth and latency.

  • Enable EBS Multi-Attach and use multiple instances to share the volume

    Why it's wrong here

    Multi-Attach does not reduce queue depth for a single instance.

  • Change the volume type to gp3 with 5000 IOPS

    Why it's wrong here

    gp3 may have similar performance but does not guarantee improvement; also, gp3 baseline is 3000 IOPS, so 5000 IOPS would cost extra.

  • Upgrade the EC2 instance to an r5.8xlarge

    Why it's wrong here

    Increases cost and EBS bandwidth may not be the bottleneck.

Visual reference

R1 R2 R3 R4 10 100 10 100 OSPF picks R1→R2→R4 (cost 20) over R1→R3→R4 (cost 200)

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