PCDOE Optimizing service performance Practice Question
This PCDOE practice question tests your understanding of optimizing service performance. 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 DevOps team wants to optimize the performance of a Cloud Run service that experiences sporadic traffic. Which TWO strategies should they implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Reduce container image size and use startup probes
Option D is correct because reducing the container image size decreases the time required to pull and start the container, directly mitigating cold start latency. Startup probes allow Cloud Run to defer sending traffic until the container is ready, preventing premature request failures and improving perceived performance. Together, these optimizations address the root causes of cold starts in a serverless environment.
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.
✗
Set min-instances to 5 to avoid cold starts
Why it's wrong here
High min-instances increase cost and may not be needed for sporadic traffic; 1 is often enough.
✗
Use Cloud Run for Anthos on GKE for better performance
Why it's wrong here
Cloud Run for Anthos runs on GKE but doesn't inherently solve cold starts; it adds complexity.
✗
Use Cloud Scheduler to trigger the service periodically
Why it's wrong here
Scheduled pings keep instances warm but waste resources; better to optimize cold start directly.
✓
Reduce container image size and use startup probes
Why this is correct
Smaller image loads faster, and startup probes delay traffic until the instance is ready, preventing errors.
Related concept
Read the scenario before looking for a memorised answer.
✓
Enable CPU boost during cold starts
Why this is correct
CPU boost provides extra CPU during startup, reducing cold start latency.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that setting min-instances or using periodic triggers (like Cloud Scheduler) are effective performance optimizations for sporadic traffic, when in fact they are cost-increasing workarounds that do not address the fundamental cold start problem.
Detailed technical explanation
How to think about this question
Container image size directly impacts cold start latency because Cloud Run must pull the image from Container Registry or Artifact Registry before starting the container; smaller images (e.g., using distroless base images or multi-stage builds) reduce pull time from seconds to sub-second. Startup probes, defined via the `startupProbe` field in the YAML configuration, allow the container to initialize (e.g., load dependencies, establish database connections) before the revision is marked healthy; this prevents the 502 errors that occur when requests arrive before the container is ready. In practice, combining a minimal base image (like `gcr.io/distroless/static`) with a startup probe that checks a health endpoint can reduce cold start latency from 5–10 seconds to under 1 second.
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.
TExam Day Tips
→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
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Optimizing service performance — This question tests Optimizing service performance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Reduce container image size and use startup probes — Option D is correct because reducing the container image size decreases the time required to pull and start the container, directly mitigating cold start latency. Startup probes allow Cloud Run to defer sending traffic until the container is ready, preventing premature request failures and improving perceived performance. Together, these optimizations address the root causes of cold starts in a serverless environment.
What should I do if I get this PCDOE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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