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 metrics should be monitored to ensure the health of an SAP HANA database running on AWS? (Select two.)
Elastic Load Balancer Latency
Why wrong: ELB latency is for application layer, not database health.
S3 Bucket Size
Why wrong: Not relevant to HANA database health.
Disk I/O (read/write throughput)
HANA is I/O intensive, so I/O performance is key.
HANA System Replication Lag
Replication lag indicates if DR is up to date.
CPU Credit Balance
Why wrong: CPU credits are for T2/T3 instances, not recommended for HANA.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Disk I/O (read/write throughput)
Disk I/O (read/write throughput) is critical for SAP HANA because HANA is an in-memory database that relies on persistent storage for savepoints, log writes, and data recovery. Insufficient disk throughput can cause performance degradation or system hangs, making it a key health metric.
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.
Elastic Load Balancer Latency
Why it's wrong here
ELB latency is for application layer, not database health.
S3 Bucket Size
Why it's wrong here
Not relevant to HANA database health.
Disk I/O (read/write throughput)
Why this is correct
HANA is I/O intensive, so I/O performance is key.
Related concept
Read the scenario before looking for a memorised answer.
HANA System Replication Lag
Why this is correct
Replication lag indicates if DR is up to date.
Related concept
Read the scenario before looking for a memorised answer.
CPU Credit Balance
Why it's wrong here
CPU credits are for T2/T3 instances, not recommended for HANA.
Common exam traps
The trap here is that candidates may confuse general AWS infrastructure metrics (like ELB latency or CPU credits) with database-specific health indicators, overlooking that HANA's in-memory architecture makes disk I/O and replication lag the direct measures of database stability.
Detailed technical explanation
SAP HANA's disk I/O requirements are driven by the log writer flushing redo logs every few seconds and the savepoint process writing full data snapshots to disk; monitoring read/write throughput against EBS volume limits (e.g., gp3 baseline IOPS) helps prevent I/O throttling. HANA System Replication Lag, measured in seconds or log positions, indicates how current the standby node is; a lag exceeding the configured timeout (e.g., 30 seconds) can trigger automatic failover delays or data loss in synchronous replication mode.
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: Disk I/O (read/write throughput) — Disk I/O (read/write throughput) is critical for SAP HANA because HANA is an in-memory database that relies on persistent storage for savepoints, log writes, and data recovery. Insufficient disk throughput can cause performance degradation or system hangs, making it a key health metric.
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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