Scaling Policies and Thresholds Quiz

Quiz covering Capacity Planning

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary purpose of defining a 'cooldown period' in an auto-scaling policy?

2. 2

   If your application experiences predictable traffic spikes every Monday at 9:00 AM, which scaling policy is most cost-effective and efficient?

3. 3

   When configuring a target tracking policy based on 'Request Count per Target', what happens if the actual request count exceeds the defined target value?

4. 4

   You notice your application experiences 'flapping'—where the system scales out and in repeatedly within a short timeframe. Which configuration change would best mitigate this?

5. 5

   In a distributed system using predictive scaling, the algorithm suggests a capacity of 10 nodes for an upcoming peak, but the actual observed CPU utilization is very low. Why might the algorithm still maintain 10 nodes?