Google Professional Cloud Developer Question 237
Select 3Google Cloud PlatformYou are developing a serverless application using Cloud Functions. To ensure the application is scalable, reliable, and cost-effective, what are the key considerations when building the function?
- A
Minimize the function's execution time by optimizing code performance.
- B
Use global variables to cache resources and reduce initialization time.
- C
Deploy the function with a fixed memory allocation to save costs.
- D
Ensure idempotency of the function to handle retries gracefully.
- E
Implement retries within the function code to handle transient failures.
Show answer and explanation
Correct answers: A, B, D
Explanation
When building serverless applications using Cloud Functions, it is important to optimize execution time, utilize global variables for performance improvements, and design the function to be idempotent. These considerations ensure scalability, reliability, and cost-effectiveness. Memory allocation should be chosen based on performance needs, and retries should rely on Cloud Functions' built-in mechanisms rather than being handled manually within the code.
- A. Correct.
Minimizing execution time reduces costs and improves scalability, as Cloud Functions are billed based on the amount of execution time used.
- B. Correct.
Using global variables for caching can reduce initialization time, which helps improve performance and reduces cold start latency.
- C. Incorrect.
Using a fixed memory allocation may not always save costs. An insufficient memory allocation can lead to longer execution times and higher overall costs.
- D. Correct.
Ensuring idempotency is critical in serverless applications, as Cloud Functions might retry executions in case of transient errors. This avoids duplicate side effects.
- E. Incorrect.
Retries should not be implemented within the function code itself, as Cloud Functions already handle retries natively. Adding retries in the function could lead to redundant retries and increased costs.