PAS-C01 Multi-AZ Failover Practice Question
An SAP system running on AWS uses a Multi-AZ RDS for SAP ASE database. The operations team notices that the database failover took longer than expected during a recent outage. What should the team investigate to reduce failover time?
⚠ Common exam trap
Candidates often assume that scaling storage or instance size will reduce failover time, but the primary delay is caused by long-running transactions that must complete before failover.
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
✓
Check for long-running transactions that delay the failover.
Multi-AZ failover time is primarily affected by the time required to complete in-flight transactions and apply redo logs to the standby. Long-running transactions can delay failover because they must be completed or rolled back before the standby can become the primary. Option A is incorrect because increasing storage may improve I/O performance but does not directly reduce failover time. Option B is incorrect because the standby must be in a different Availability Zone for Multi-AZ. Option D is incorrect because Multi-AZ RDS uses synchronous replication, not asynchronous.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the allocated storage for the database to improve I/O performance.
Why it's wrong here
Storage size does not directly affect failover time.
- ✗
Ensure that the standby instance is in the same Availability Zone as the primary.
Why it's wrong here
Multi-AZ uses different AZs.
- ✓
Check for long-running transactions that delay the failover.
Why this is correct
Long-running transactions can significantly increase failover time.
- ✗
Verify that the database is using asynchronous replication.
Why it's wrong here
Multi-AZ uses synchronous replication.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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