CV0-004 Dynamic scaling Practice Question
A cloud team wants to automatically scale an application based on the number of pending messages in a message queue. Which scaling policy type should be used?
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
✓
Dynamic scaling (metric-based)
Dynamic scaling (metric-based) adjusts the number of instances to keep a specific metric, such as queue depth, at a target value. This is the appropriate policy for scaling based on real-time queue depth.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Dynamic scaling (metric-based)
Why this is correct
Dynamic scaling (metric-based) adjusts capacity based on a real-time metric like queue depth, making it ideal for scaling on pending messages.
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Scheduled scaling
Why it's wrong here
Scheduled scaling uses a predetermined time schedule and does not respond to real-time queue depth changes.
- ✗
Manual scaling
Why it's wrong here
Manual scaling requires human intervention to change capacity, not automated based on queue depth.
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Static scaling
Why it's wrong here
Static scaling involves fixed capacity and does not automatically adjust to queue depth fluctuations.
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Written by Johnson Ajibi, MSc IT Security
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