Quick Answer
The two most useful Amazon CloudWatch metrics for monitoring SAP HANA performance on EC2 are CPUCreditBalance and VolumeQueueLength. CPUCreditBalance is critical because SAP HANA is a memory- and CPU-intensive in-memory database that can burst CPU usage; on T-series burstable instances, a low balance signals imminent throttling, which would severely degrade HANA query performance. VolumeQueueLength is equally essential, as SAP HANA relies on fast, low-latency EBS storage for data persistence, and a high queue length indicates I/O requests are backing up, directly harming savepoint and log write performance. On the AWS Certified SAP on AWS Specialty PAS-C01 exam, this tests your understanding of how HANA’s resource demands map to specific CloudWatch metrics, often with a trap of choosing generic CPU utilization instead of the burstable-specific CPUCreditBalance. Remember: for HANA on burstable instances, think “credit crunch” for CPU, and for storage, “queue length equals I/O bottleneck.”
This PAS-C01 practice question tests your understanding of design of sap workloads on aws. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Which TWO Amazon CloudWatch metrics are most useful for monitoring SAP HANA database performance on EC2?
CPUCreditBalance
Important for T2/T3 instances to avoid throttling.
NetworkIn
Why wrong: Not directly related to DB performance.
DiskWriteOps
Why wrong: Aggregate metric not as useful.
VolumeQueueLength
Indicates EBS I/O wait.
StatusCheckFailed
Why wrong: Instance health metric.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
CPUCreditBalance
CPUCreditBalance (A) is critical for monitoring SAP HANA on EC2 because HANA is a memory- and CPU-intensive in-memory database that can burst CPU usage. If the instance runs on a T-series burstable instance, a low CPUCreditBalance indicates the instance may soon be throttled, causing severe performance degradation for HANA queries. VolumeQueueLength (D) is essential because SAP HANA relies on fast, low-latency storage (e.g., io1/io2 EBS volumes) for data persistence; a high queue length signals that I/O requests are backing up, directly impacting HANA's savepoint and log write performance.
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.
CPUCreditBalance
Why this is correct
Important for T2/T3 instances to avoid throttling.
Related concept
Read the scenario before looking for a memorised answer.
NetworkIn
Why it's wrong here
Not directly related to DB performance.
DiskWriteOps
Why it's wrong here
Aggregate metric not as useful.
VolumeQueueLength
Why this is correct
Indicates EBS I/O wait.
Related concept
Read the scenario before looking for a memorised answer.
StatusCheckFailed
Why it's wrong here
Instance health metric.
Common exam traps
The trap here is that candidates often confuse general EC2 health metrics (like StatusCheckFailed) or high-level throughput metrics (NetworkIn, DiskWriteOps) with the specific performance indicators that directly impact SAP HANA's in-memory and I/O-sensitive workload, leading them to overlook the burst credit and queue depth metrics that AWS explicitly documents for HANA monitoring.
Detailed technical explanation
CPUCreditBalance is a burstable instance metric that tracks accumulated CPU credits; when credits are exhausted, the instance is limited to the baseline CPU, which can cripple HANA's real-time processing. VolumeQueueLength measures the number of pending I/O requests to an EBS volume; for SAP HANA, which uses synchronous writes for log flushes, a queue length consistently above 1 (for single volumes) or the expected IOPS depth indicates storage contention. In production, SAP recommends using io2 Block Express volumes with Provisioned IOPS and monitoring VolumeQueueLength alongside EBS ByteBalance to avoid write throttling during savepoints.
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: CPUCreditBalance — CPUCreditBalance (A) is critical for monitoring SAP HANA on EC2 because HANA is a memory- and CPU-intensive in-memory database that can burst CPU usage. If the instance runs on a T-series burstable instance, a low CPUCreditBalance indicates the instance may soon be throttled, causing severe performance degradation for HANA queries. VolumeQueueLength (D) is essential because SAP HANA relies on fast, low-latency storage (e.g., io1/io2 EBS volumes) for data persistence; a high queue length signals that I/O requests are backing up, directly impacting HANA's savepoint and log write performance.
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Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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