Google Exam Professional-Cloud-Developer Topic 14 Question 75 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 75
Topic #: 14

[All Professional Cloud Developer Questions]

You are a lead developer working on a new retail system that runs on Cloud Run and Firestore. A web UI requirement is for the user to be able to browse through alt products. A few months after go-live, you notice that Cloud Run instances are terminated with HTTP 500: Container instances are exceeding memory limits errors during busy times

This error coincides with spikes in the number of Firestore queries

You need to prevent Cloud Run from crashing and decrease the number of Firestore queries. You want to use a solution that optimizes system performance What should you do?

ACreate a custom jndex over the products

BModify the query that returns the product list using cursors with limits

CModify the Cloud Run configuration to increase the memory limits

DModify the query that returns the product list using integer offsets

Show Suggested Answer

Suggested Answer: B

by Deandrea at Jan 26, 2024, 06:23 PM

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Ruth

10 days ago

Hmm, I don't know. I'm kind of partial to option C. Sure, it might not be the most sustainable solution, but it could buy us some time to figure out a better long-term strategy. And let's be real, sometimes you just gotta do what you gotta do to keep the system running, you know?

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Elmira

11 days ago

You know, I was thinking the same thing, Jannette. Using cursors and limits is probably the way to go. It's more efficient than relying on offsets, and it should help keep those Firestore queries under control.

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Jannette

12 days ago

I'm leaning towards option B. Modifying the query to use cursors and limits could help reduce the load on Firestore and prevent those memory issues on Cloud Run. Plus, it seems like a more elegant solution than just throwing more resources at the problem.

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Noemi

13 days ago

Ugh, this question is tricky. I'm not sure if I should go with option B or C. Increasing the memory limits on Cloud Run might help, but I'm worried that won't be a long-term solution if the Firestore queries are the real issue.

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