Google Associate Cloud Engineer Question 226
Select 4Google Cloud PlatformYou are managing an application on Google Cloud Platform that experiences unpredictable traffic spikes. To ensure high availability and cost efficiency, you need to configure autoscaling for your managed instance group. Which of the following actions will help you optimize the autoscaling setup for your application?
- A
Set the minimum number of instances to accommodate the highest anticipated load.
- B
Use custom metrics to trigger scaling based on application-specific performance indicators.
- C
Configure a cooldown period to allow time for new instances to initialize before triggering further scaling.
- D
Set the maximum number of instances to prevent exceeding your budget during traffic spikes.
- E
Enable predictive autoscaling to automatically adjust based on forecasted demand.
Show answer and explanation
Correct answers: B, C, D, E
Explanation
Optimizing autoscaling involves configuring parameters that ensure both availability and cost efficiency. By using custom metrics, you tailor scaling to actual application needs. A cooldown period prevents unnecessary scaling actions. Setting maximum instances controls costs, and predictive autoscaling helps anticipate future demand, reducing the likelihood of resource shortages or excess.
- A. Incorrect.
Setting the minimum number of instances to the highest anticipated load is inefficient and may lead to unnecessary costs when traffic is low.
- B. Correct.
Using custom metrics allows scaling based on specific performance indicators relevant to your application, improving responsiveness.
- C. Correct.
A cooldown period helps prevent rapid scaling actions that can lead to instability and increased costs.
- D. Correct.
Setting a maximum number of instances ensures that your application does not scale beyond budget constraints during unexpected spikes.
- E. Correct.
Predictive autoscaling can proactively adjust resources based on forecasted demand, ensuring availability and cost efficiency.