Google PCA Practice Question: Managing and Provisioning a Solution Infrastructure
A company has a Cloud Run service that processes high-throughput requests. They want to reduce latency by keeping a baseline of warm instances always ready to handle traffic. Which Cloud Run configuration parameters should they adjust?
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 min-instances to 10 and CPU to always-on
Setting min-instances to a value greater than 0 ensures that Cloud Run keeps at least that many instances warm, ready to serve requests without cold start latency. Max-instances sets an upper limit. Concurrency controls how many requests each instance can handle. CPU allocation can be set to always-on to reduce latency, but that is a separate setting.
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 0 and max-instances to 100
Why it's wrong here
Min-instances=0 means no warm instances; the service scales from zero, causing cold start latency.
- ✗
Set max-instances to a high value and concurrency to 1
Why it's wrong here
Max-instances limits the total number of instances, but does not keep warm instances. Concurrency=1 limits each instance to one request, which is inefficient for high-throughput.
- ✓
Set min-instances to 10 and CPU to always-on
Why this is correct
Min-instances ensures 10 warm instances are always ready, and CPU always-on reduces latency by keeping CPU allocated even when not serving requests.
- ✗
Set max-instances to 0 (unlimited) and concurrency to 80
Why it's wrong here
Unlimited max-instances could lead to cost spikes, and concurrency=80 is default. This does not keep warm instances; cold starts may still occur.
Go deeper
Related to this question
Learn chapter
Introduction to Google Cloud Platform
Key term
Latency
Latency is the time delay between a request being sent over a network and the response being received, often measured in milliseconds.
Key term
Concurrency
Concurrency is the ability of a system to handle multiple tasks at the same time by dividing resources and switching between them efficiently.
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This PCA 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 PCA exam.