Google PCA Practice Question: Managing and Provisioning a Solution Infrastructure
A company wants to deploy a microservice on Cloud Run that requires high throughput and low latency. The service processes requests that can spike unpredictably. The team wants to minimize cold starts and ensure availability during traffic bursts. Which combination of Cloud Run settings should they configure?
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
✓
min-instances = 1, max-instances = 100, concurrency = 80
Setting min instances to 1 ensures at least one instance is always warm, eliminating cold starts. Max instances should be high to handle bursts. Concurrency should be set to the maximum the container can handle to maximize throughput.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
min-instances = 1, max-instances = 1, concurrency = 80
Why it's wrong here
max-instances = 1 cannot handle bursts.
- ✗
min-instances = 0, max-instances = 100, concurrency = 1
Why it's wrong here
min-instances = 0 allows cold starts; concurrency = 1 limits throughput.
- ✗
min-instances = 0, max-instances = 10, concurrency = 80
Why it's wrong here
min-instances = 0 allows cold starts; max-instances = 10 may be too low for bursts.
- ✓
min-instances = 1, max-instances = 100, concurrency = 80
Why this is correct
This combination ensures warm instances, allows scaling to handle bursts, and maximizes concurrent requests.
Go deeper
Related to this question
Learn chapter
Introduction to Google Cloud Platform
Key term
CAN
A CAN (Controller Area Network) is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other without a host computer.
Key term
Cloud Run
Cloud Run is a fully managed compute platform from Google Cloud that lets you run containerized applications in a serverless environment, automatically scaling from zero to thousands of requests.
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