Question 754 of 1,663
DBS-C01 Monitoring and Troubleshooting Practice Question
A database administrator is troubleshooting a performance issue on an Amazon Aurora MySQL cluster. The application is experiencing high latency on write operations. Which TWO CloudWatch metrics should the administrator analyze to identify the root cause?
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
✓
DMLThroughput
The correct metrics to analyze for high write latency are DMLThroughput and CommitLatency. DMLThroughput measures the rate of Data Manipulation Language operations, including INSERT, UPDATE, and DELETE, which are write-intensive. High DMLThroughput may indicate excessive write operations. CommitLatency measures the time taken to commit transactions; high commit latency directly contributes to write latency. The other options are not directly related to write performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ReadLatency
Why it's wrong here
ReadLatency measures the time for read operations, not relevant to write latency.
- ✓
DMLThroughput
Why this is correct
DMLThroughput measures the rate of write operations (INSERT/UPDATE/DELETE) and helps identify if high throughput is causing contention.
- ✓
CommitLatency
Why this is correct
CommitLatency measures the time to commit transactions, directly impacting write latency.
- ✗
SelectLatency
Why it's wrong here
SelectLatency is a read metric, not relevant to write latency.
- ✗
FreeableMemory
Why it's wrong here
FreeableMemory indicates available memory but is not a direct indicator of write latency.
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Last reviewed: Jun 20, 2026
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