CV0-004 Operations and Support Practice Question
A cloud administrator is configuring auto-scaling for a batch processing application that uses an SQS queue. The number of jobs varies unpredictably. Which metric is most appropriate for scaling the worker instances?
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
✓
SQS queue depth (ApproximateNumberOfMessages)
SQS queue depth (approximate number of messages) directly indicates the backlog of work and is a common metric for scaling workers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Memory utilization of workers
Why it's wrong here
Memory may not reflect pending work.
- ✓
SQS queue depth (ApproximateNumberOfMessages)
Why this is correct
Queue depth directly indicates workload pending, ideal for scaling workers.
- ✗
Network throughput
Why it's wrong here
Network throughput is not a direct measure of job backlog.
- ✗
CPU utilization of workers
Why it's wrong here
CPU may not always correlate with queue backlog, especially if workers are I/O bound.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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