PAS-C01 Design of SAP Workloads on AWS Practice Question
Which TWO metrics should be monitored to ensure the health of an SAP HANA database running on AWS? (Select two.)
⚠ Common exam trap
Many exam-takers 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.
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
✓
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.
Answer analysis
Option-by-option breakdown
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.
- ✓
HANA System Replication Lag
Why this is correct
Replication lag indicates if DR is up to date.
- ✗
CPU Credit Balance
Why it's wrong here
CPU credits are for T2/T3 instances, not recommended for HANA.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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