SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company runs a web application on AWS Elastic Beanstalk. The application experiences periodic traffic spikes that cause the environment to scale out. However, the scaling is slow, leading to increased latency during spikes. The operations team wants to improve the responsiveness of the Auto Scaling group. The application is stateless and runs on a single instance type. What should a solutions architect recommend?
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
✓
Decrease the Auto Scaling group's cooldown period.
Decrease the Auto Scaling group's cooldown period. Decreasing the cooldown period allows the Auto Scaling group to launch new instances more quickly after a scaling activity, reducing the time it takes to respond to traffic spikes. This directly improves responsiveness. Option A is incorrect because using multiple instance types does not speed up scaling decisions. Option B (scheduled scaling) is proactive but does not help with unexpected spikes. Option D (larger instance type) addresses capacity per instance but not the speed of scaling out.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure the Auto Scaling group to use multiple instance types.
Why it's wrong here
Diversifying instance types does not directly improve scaling speed.
- ✗
Use scheduled scaling to add capacity before expected spikes.
Why it's wrong here
Scheduled scaling is proactive but does not help with unexpected spikes.
- ✓
Decrease the Auto Scaling group's cooldown period.
Why this is correct
Shorter cooldown allows more frequent scaling decisions, improving responsiveness.
- ✗
Change the instance type to a larger size.
Why it's wrong here
Larger instances handle more load but scaling speed remains the same.
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