This PAS-C01 practice question tests your understanding of design of sap workloads on aws. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
An SAP HANA database on AWS is using EBS io2 volumes. The company wants to monitor the read and write latency of the database volumes. Which CloudWatch metrics should be used?
VolumeIdleTime and VolumeTotalReadTime.
Why wrong: Idle time is not latency; total read time is not a metric.
VolumeReadLatency and VolumeWriteLatency.
These metrics directly measure latency per operation.
VolumeThroughputPercentage and VolumeConsumedReadWriteOps.
Why wrong: These are throughput and IOPS metrics, not latency.
VolumeQueueLength and VolumeThroughput.
Why wrong: Queue length is not latency; throughput is not latency.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
VolumeReadLatency and VolumeWriteLatency.
Option B is correct because CloudWatch provides the `VolumeReadLatency` and `VolumeWriteLatency` metrics specifically to monitor the average time (in seconds) for read and write I/O operations on EBS volumes. For SAP HANA on io2 volumes, these metrics directly reflect storage performance and are critical for detecting latency issues that could impact database throughput and transaction response times.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
VolumeIdleTime and VolumeTotalReadTime.
Why it's wrong here
Idle time is not latency; total read time is not a metric.
VolumeReadLatency and VolumeWriteLatency.
Why this is correct
These metrics directly measure latency per operation.
Related concept
Read the scenario before looking for a memorised answer.
VolumeThroughputPercentage and VolumeConsumedReadWriteOps.
Why it's wrong here
These are throughput and IOPS metrics, not latency.
VolumeQueueLength and VolumeThroughput.
Why it's wrong here
Queue length is not latency; throughput is not latency.
Common exam traps
The trap here is that candidates confuse throughput or queue-length metrics (like `VolumeQueueLength` or `VolumeThroughput`) with latency metrics, assuming high queue length directly equals high latency, but CloudWatch provides dedicated latency metrics that are the correct and direct measure for this monitoring requirement.
Detailed technical explanation
Under the hood, `VolumeReadLatency` and `VolumeWriteLatency` are calculated by CloudWatch as the sum of `VolumeTotalReadTime` divided by `VolumeReadOps` (and similarly for writes), giving the average latency per I/O operation. For SAP HANA, which is sensitive to storage latency spikes, these metrics should be monitored with a 1-minute granularity to detect transient performance degradation, especially during log writes or data flushes. In real-world scenarios, a sudden increase in `VolumeWriteLatency` on io2 volumes may indicate that the volume is exceeding its provisioned IOPS or that the EBS Nitro controller is throttling due to burst bucket exhaustion.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Design of SAP Workloads on AWS — This question tests Design of SAP Workloads on AWS — Read the scenario before looking for a memorised answer..
The correct answer is: VolumeReadLatency and VolumeWriteLatency. — Option B is correct because CloudWatch provides the `VolumeReadLatency` and `VolumeWriteLatency` metrics specifically to monitor the average time (in seconds) for read and write I/O operations on EBS volumes. For SAP HANA on io2 volumes, these metrics directly reflect storage performance and are critical for detecting latency issues that could impact database throughput and transaction response times.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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