DEA-C01 Data Store Management Practice Question
A company is using Amazon RDS for SQL Server with Multi-AZ. The database has a 500 GB data file and 100 GB log file. The application experiences high latency during peak hours. Monitoring shows high WriteIOPS on the primary. Which change will reduce latency without losing the ability to failover?
⚠ Common exam trap
Test-takers frequently confuse read replicas or Multi-AZ standby features with write performance improvements, but neither reduces write latency on the primary; only increasing storage performance (IOPS) or scaling the instance class addresses write-heavy I/O bottlenecks.
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
✓
Increase the provisioned IOPS on the RDS instance
The high WriteIOPS on the primary indicates that the storage layer is saturated, causing latency. Increasing provisioned IOPS on the RDS instance directly addresses the bottleneck by providing more I/O capacity, and since Multi-AZ is already enabled, the standby remains synchronized and failover capability is preserved.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the log file size by changing recovery model
Why it's wrong here
Changing recovery model affects point-in-time recovery.
- ✓
Increase the provisioned IOPS on the RDS instance
Why this is correct
Higher IOPS reduces write latency.
- ✗
Create a Read Replica in a different Availability Zone
Why it's wrong here
Read Replicas offload reads, not writes.
- ✗
Switch to Multi-AZ with two readable standbys
Why it's wrong here
RDS Multi-AZ does not have readable standbys.
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