DBS-C01 Monitoring and Troubleshooting Practice Question
A company has an Amazon Aurora MySQL DB cluster with one writer and two readers. The application is reporting increased read latency. The DB cluster is using Aurora Auto Scaling for readers. Which metric should be used to trigger scaling out readers?
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
✓
AverageActiveConnections
Aurora Auto Scaling for readers uses the 'AverageActiveConnections' metric to determine when to add readers. Option D is correct. Option A is incorrect because average active connections is the trigger, not read latency. Option B is incorrect because ReaderNodeCPU is not a predefined metric for auto scaling. Option C is incorrect because CPUUtilization is not the metric used for reader scaling.
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 is a symptom of load, not a direct metric for scaling decisions.
- ✗
ReaderNodeCPU
Why it's wrong here
ReaderNodeCPU is not a standard CloudWatch metric for Aurora auto scaling.
- ✗
CPUUtilization
Why it's wrong here
CPUUtilization is not the default metric for reader auto scaling; it is based on connections.
- ✓
AverageActiveConnections
Why this is correct
Aurora Auto Scaling uses the number of active connections to the reader to add or remove readers.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DBS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DBS-C01 exam.