- A
Increase the allocated memory to 2GB.
Why wrong: More memory does not reduce external API latency.
- B
Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function.
Decouples the calling logic, allowing the function to ack messages quickly and process later.
- C
Implement retry logic with exponential backoff for external API calls.
Retries handle transient failures, improving success rate.
- D
Increase the Cloud Function timeout to 540 seconds (max).
Gives more time for API calls to complete.
- E
Reduce the maximum number of concurrent function instances.
Why wrong: Reducing concurrency may lead to backlogs but doesn't help individual timeouts.
Question 510 of 999
Improving Cloud Function Reliability with Retry and Async Queuing
This PCD practice question tests your understanding of integrating google cloud services. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has a Cloud Function that processes events from Cloud Pub/Sub. The function uses HTTP client libraries to call external APIs. The team notices that the function sometimes times out during high traffic. Which THREE actions should they take to improve reliability? (Choose THREE.)
Quick Answer
The correct three actions are increasing the Cloud Function timeout to 540 seconds, implementing retry with exponential backoff, and using Cloud Tasks for internal queueing. This combination directly addresses the core challenge of improving cloud function reliability with retry and async patterns, as the timeout extension prevents premature failure during high traffic, exponential backoff handles transient API failures without overwhelming the external service, and Cloud Tasks decouples the HTTP call from the function’s synchronous execution. On the Google Professional Cloud Developer exam, this scenario tests your understanding of how to manage external dependencies and asynchronous workloads within serverless architectures—a common trap is confusing memory increases or concurrency reduction with timeout resolution, but those don’t fix the root cause of waiting on slow APIs. Remember the mnemonic “T-R-A”: Timeout, Retry, Async queueing.
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
✓
Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function.
Option B (Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function) is correct because it decouples the external API calls from the function execution, reducing the risk of timeouts during high traffic. Option C (Implement retry logic with exponential backoff for external API calls) is correct to handle transient failures from external APIs gracefully. Option D (Increase the Cloud Function timeout to 540 seconds) is correct to allow the function more time to complete processing, especially when waiting for external responses. Option A (Increase the allocated memory to 2GB) is incorrect because while more memory can improve performance for compute-intensive tasks, it does not directly address timeouts caused by external API dependencies. Option E (Reduce the maximum number of concurrent function instances) is incorrect because reducing concurrency would decrease throughput and could worsen latency under high load, not improve reliability.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the allocated memory to 2GB.
Why it's wrong here
More memory does not reduce external API latency.
- ✓
Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function.
Why this is correct
Decouples the calling logic, allowing the function to ack messages quickly and process later.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Implement retry logic with exponential backoff for external API calls.
Why this is correct
Retries handle transient failures, improving success rate.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Increase the Cloud Function timeout to 540 seconds (max).
Why this is correct
Gives more time for API calls to complete.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Reduce the maximum number of concurrent function instances.
Why it's wrong here
Reducing concurrency may lead to backlogs but doesn't help individual timeouts.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Visual reference
What to study next
Got this wrong? Here's your next step.
Identify which PCD exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Integrating Google Cloud services — study guide chapter
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FAQ
Questions learners often ask
What does this PCD question test?
Integrating Google Cloud services — This question tests Integrating Google Cloud services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function. — Option B (Use Cloud Tasks to queue the API call invocations and process them asynchronously from the function) is correct because it decouples the external API calls from the function execution, reducing the risk of timeouts during high traffic. Option C (Implement retry logic with exponential backoff for external API calls) is correct to handle transient failures from external APIs gracefully. Option D (Increase the Cloud Function timeout to 540 seconds) is correct to allow the function more time to complete processing, especially when waiting for external responses. Option A (Increase the allocated memory to 2GB) is incorrect because while more memory can improve performance for compute-intensive tasks, it does not directly address timeouts caused by external API dependencies. Option E (Reduce the maximum number of concurrent function instances) is incorrect because reducing concurrency would decrease throughput and could worsen latency under high load, not improve reliability.
What should I do if I get this PCD question wrong?
Identify which PCD exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 24, 2026
This PCD practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCD exam.
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