Question 213 of 500
Optimizing service performancehardMultiple SelectObjective-mapped

Quick Answer

The answer is setting a minimum number of instances, a maximum number of instances, and configuring concurrency settings. These three factors directly address Cloud Run performance under unpredictable traffic patterns by ensuring a baseline of warm instances to eliminate cold starts during sudden spikes, capping resource usage to control cost and prevent runaway scaling, and limiting concurrent requests per container to maintain consistent latency. On the Google Professional Cloud DevOps Engineer exam, this tests your understanding of serverless autoscaling trade-offs, often appearing in scenario-based questions where a service experiences erratic load. A common trap is focusing only on max instances to save money, ignoring that without a minimum, the first burst of traffic triggers cold starts that degrade user experience. Remember the mnemonic “Min, Max, Concur” to recall that all three knobs must be tuned together for unpredictable workloads.

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.

Which THREE factors should you consider when designing a Cloud Run service for optimal performance under unpredictable traffic patterns? (Choose 3)

Question 1hardmulti select
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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

Set a minimum number of instances to reduce cold starts.

Option B is correct because setting a minimum number of instances ensures that Cloud Run always keeps a baseline of warm instances ready to serve requests. This eliminates cold starts for the first requests during traffic spikes, which is critical for unpredictable traffic patterns where latency spikes from cold starts would degrade user experience.

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 for faster connection reuse.

    Why it's wrong here

    Cloud Run supports HTTP/2 but it's not a primary performance factor.

  • Set a minimum number of instances to reduce cold starts.

    Why this is correct

    Min instances keep containers warm.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Configure VPC egress through Cloud NAT for lower latency.

    Why it's wrong here

    NAT adds latency; direct egress is faster.

  • Allocate sufficient CPU per instance to handle peak load.

    Why this is correct

    CPU allocation affects request processing time.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Set a maximum number of instances to control concurrency and cost.

    Why this is correct

    Max instances prevent over-scaling and cost spikes.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse network optimization features (HTTP/2, Cloud NAT) with instance lifecycle management, mistakenly believing they address cold starts or scaling latency when they only affect connection efficiency or outbound connectivity.

Detailed technical explanation

How to think about this question

Cloud Run uses a request-based autoscaling model where idle instances can be scaled down to zero. Setting a minimum number of instances (e.g., via --min-instances flag) keeps the specified number of instances always warm, meaning the container runtime and application code are already loaded, avoiding the 1-10 second cold start penalty. This is especially important for services with unpredictable traffic, as it ensures sub-second response times even during sudden load surges.

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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

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.

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FAQ

Questions learners often ask

What does this PCDOE question test?

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: Set a minimum number of instances to reduce cold starts. — Option B is correct because setting a minimum number of instances ensures that Cloud Run always keeps a baseline of warm instances ready to serve requests. This eliminates cold starts for the first requests during traffic spikes, which is critical for unpredictable traffic patterns where latency spikes from cold starts would degrade user experience.

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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Last reviewed: Jun 11, 2026

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This PCDOE 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 PCDOE exam.