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 Cloud Run service experiences high cold start latency. The team has already set min-instances to 1. Which additional optimization can further reduce cold start impact?
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 enable CPU boost during startup
Option B is correct because reducing the container image size decreases the time required to pull and unpack the container on a cold start, and enabling CPU boost during startup temporarily allocates additional CPU resources to accelerate the initialization process. Together, these directly address the root causes of cold start latency by minimizing both the image loading time and the application initialization time, even when min-instances is already set to 1.
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.
✗
Use HTTP/2 to speed up request handling
Why it's wrong here
HTTP/2 improves multiplexing but does not affect instance startup time.
✓
Reduce container image size and enable CPU boost during startup
Why this is correct
Smaller images load faster, and CPU boost provides extra CPU during startup, reducing latency.
Related concept
Read the scenario before looking for a memorised answer.
✗
Place the service on Cloud Run for Anthos on GKE
Why it's wrong here
Running on GKE does not inherently reduce cold starts; the same optimization challenges apply.
✗
Increase the container memory limit
Why it's wrong here
More memory may not reduce startup time; image size and CPU boost are more direct.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that increasing resources (memory or CPU) always improves performance, but in the context of cold starts, the bottleneck is typically image size and initialization speed, not steady-state resource limits.
Detailed technical explanation
How to think about this question
Cold start latency in Cloud Run is primarily driven by three factors: container image download time, filesystem unpacking time, and application initialization time. Reducing image size (e.g., using distroless base images or multi-stage builds) directly cuts download and unpack times, while CPU boost (a Cloud Run feature that temporarily provides up to 2 vCPUs during startup) accelerates initialization. In practice, a 100 MB image might take 2–3 seconds to pull, whereas a 10 MB image can pull in under 500 ms, and CPU boost can reduce initialization from 5 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 enable CPU boost during startup — Option B is correct because reducing the container image size decreases the time required to pull and unpack the container on a cold start, and enabling CPU boost during startup temporarily allocates additional CPU resources to accelerate the initialization process. Together, these directly address the root causes of cold start latency by minimizing both the image loading time and the application initialization time, even when min-instances is already set to 1.
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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