DEA-C01 Data Store Management Practice Question
A data engineer is optimizing an Amazon RDS for MySQL database that experiences high write throughput. The engineer wants to improve write performance and reduce latency. Which TWO database-level configuration changes can help achieve this?
⚠ Common exam trap
Watch out — candidates often confuse Multi-AZ with performance improvement, but Multi-AZ is designed for durability and failover, not for speeding up writes.
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 Provisioned IOPS (io1 or io2) storage.
Provisioned IOPS (io1 or io2) storage delivers consistent and predictable I/O performance by guaranteeing a specified number of I/O operations per second, which directly reduces latency and improves write throughput for high-write workloads. This is the most effective storage-level change for write-intensive RDS for MySQL databases.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Provisioned IOPS (io1 or io2) storage.
Why this is correct
Provisioned IOPS provides consistent low-latency writes.
- ✗
Reduce the backup retention period to 1 day.
Why it's wrong here
Reducing backup retention does not improve write performance.
- ✓
Increase the DB instance class to a larger size.
Why this is correct
More CPU and memory can handle higher write throughput.
- ✗
Create a Read Replica to offload writes.
Why it's wrong here
Read Replicas handle reads, not writes.
- ✗
Enable Multi-AZ for high availability.
Why it's wrong here
Multi-AZ provides failover, not write performance improvement.
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