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PAS-C01 Operations and Maintenance Practice Question

Which THREE metrics should an operations team monitor to detect performance issues in an SAP HANA database running on EC2?

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

CPU utilization

Options A, B, and D are correct. A: CPU utilization indicates compute pressure, which can affect HANA performance. B: Disk I/O (especially read/write latency) is critical for HANA's data persistence and log writes; high latency can degrade performance. D: Memory usage is essential since HANA is an in-memory database; insufficient memory leads to performance issues. Option C (Network packets) is wrong because network throughput is less directly impactful for HANA performance compared to the other metrics. Option E (Swap usage) is wrong because while high swap usage can indicate severe memory pressure, HANA should not swap under normal operations; monitoring memory usage directly is more effective and a primary metric. Swap usage is a secondary indicator that typically follows memory pressure, and is not among the top three critical performance metrics to watch.

Answer analysis

Option-by-option breakdown

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

  • CPU utilization

    Why this is correct

    High CPU can indicate performance issues.

  • Disk I/O (read/write latency)

    Why this is correct

    Disk I/O affects HANA performance.

  • Network packets in/out

    Why it's wrong here

    Network metrics are less critical for HANA performance.

  • Memory usage

    Why this is correct

    HANA is in-memory; memory usage is critical.

  • Swap usage

    Why it's wrong here

    High swap indicates memory pressure, but it is not a primary metric.

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