CV0-004 Operations and Support Practice Question
A cloud architect is designing an auto-scaling policy for a web application. The application's traffic spikes predictably every weekday at 9 AM and decreases after 5 PM. Which scaling policy is most cost-effective?
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
✓
Scheduled scaling policy that increases capacity at 8:45 AM and decreases at 5:15 PM
Scheduled scaling can add capacity before 9 AM and remove it after 5 PM, aligning capacity with predictable patterns without reacting to real-time metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Step scaling policy that adds instances when CPU > 70%
Why it's wrong here
Step scaling is reactive and may not be ready for the spike at 9 AM.
- ✗
Simple scaling policy with a cooldown of 300 seconds
Why it's wrong here
Simple scaling is reactive and not suitable for predictable spikes.
- ✓
Scheduled scaling policy that increases capacity at 8:45 AM and decreases at 5:15 PM
Why this is correct
Scheduled scaling aligns capacity with predictable traffic patterns, optimizing cost.
- ✗
Target tracking policy with a target CPU of 50%
Why it's wrong here
Target tracking reacts to real-time load, causing delays and possible over-provisioning.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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