PAS-C01 Design of SAP Workloads on AWS Practice Question
Which TWO of the following are best practices for running SAP HANA on AWS? (Choose 2)
⚠ Common exam trap
Many exam-takers think stopping HANA instances saves costs (Option A) without realizing that HANA is an in-memory database that must remain running to preserve data, and that AWS charges for storage even when instances are stopped, making this a false economy for production systems.
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
✓
Use separate EBS volumes for HANA data and log files
SAP HANA requires separate EBS volumes for data and log files to ensure I/O isolation and meet performance requirements. Data and log volumes have different I/O patterns (sequential for logs, random for data), and using separate volumes prevents contention, which is critical for HANA's high-throughput demands.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Stop HANA instances when not in use to save costs
Why it's wrong here
Stopping instances loses data in memory; HANA requires persistent storage.
- ✗
Use general-purpose instances (e.g., t3) to reduce costs
Why it's wrong here
HANA requires memory-optimized instances.
- ✓
Use separate EBS volumes for HANA data and log files
Why this is correct
Avoids I/O contention.
- ✓
Use EBS-optimized instances for dedicated EBS bandwidth
Why this is correct
Ensures consistent I/O performance.
- ✗
Launch all HANA instances in a single placement group
Why it's wrong here
Limits instance diversity and may cause resource contention.
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