DEA-C01 Data Store Management Practice Question
A company uses Amazon RDS for MySQL with Multi-AZ deployment. The database experiences high write latency during peak hours. The application uses InnoDB tables. Which action would reduce write latency without changing the application code?
⚠ Common exam trap
Many exam-takers confuse read replicas with write scaling, assuming they can offload writes, when in fact they only handle SELECT queries and do not reduce write latency on the primary.
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 DB instance class size
Increasing the DB instance class size (Option D) provides more CPU and memory resources, which directly improves the database's ability to handle high write loads by reducing contention and speeding up InnoDB transaction processing. This action requires no application code changes and is the most direct way to address write latency caused by resource constraints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable storage autoscaling on the DB instance
Why it's wrong here
Storage autoscaling adds capacity, not performance.
- ✗
Add a read replica to offload writes
Why it's wrong here
Read replicas handle read traffic, not writes.
- ✗
Enable Multi-AZ on the DB instance
Why it's wrong here
Multi-AZ provides high availability, not performance improvement.
- ✓
Increase the DB instance class size
Why this is correct
A larger instance class provides more resources, improving write throughput.
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