CV0-004 Operations and Support Practice Question
A cloud engineer is configuring auto-scaling for a web application that experiences variable traffic. The application runs on virtual machines and uses a message queue for incoming requests. The scaling policy must ensure that the average CPU utilization stays around 60% and that the queue depth does not exceed 100 messages. Which THREE metrics should the engineer use for the scaling policies? (Choose three.)
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
✓
CPU utilization
The required metrics are CPU utilization, SQS queue depth (message queue length), and custom application metrics can be used for additional application-specific scaling. Memory and network throughput are not specified as requirements.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Network throughput (bytes in/out)
Why it's wrong here
Network throughput is not a required metric for the given requirements.
- ✓
CPU utilization
Why this is correct
CPU utilization is used for target tracking to maintain 60%.
- ✓
SQS queue depth (message count)
Why this is correct
Queue depth is used to trigger scaling when it exceeds 100 messages.
- ✗
Memory utilization
Why it's wrong here
Memory is not mentioned as a scaling metric in the scenario.
- ✓
Custom application metrics (e.g., request latency)
Why this is correct
Custom metrics can supplement scaling decisions based on application performance.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CV0-004 practice question is part of Courseiva's free CompTIA 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 CV0-004 exam.