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Google Professional Cloud Developer Exam - Topic 14 Question 75 Discussion

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 timesThis error coincides with spikes in the number of Firestore queriesYou 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?
B) Modify the query that returns the product list using cursors with limits
A) Create a custom jndex over the products
C) Modify the Cloud Run configuration to increase the memory limits
D) Modify the query that returns the product list using integer offsets

Google Professional Cloud Developer Exam - 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?

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Suggested Answer: B

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

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Mila
9 months ago
Wait, are we really hitting memory limits? That's unexpected!
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Bettye
9 months ago
I disagree, using integer offsets can lead to performance issues.
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Maybelle
10 months ago
A custom index could help optimize queries too!
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Lourdes
10 months ago
Isn't increasing memory limits just a band-aid solution?
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Lelia
10 months ago
I think modifying the query with cursors is the way to go.
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Krissy
10 months ago
I practiced a similar question where using limits on queries helped reduce load, so I’m leaning towards modifying the query with cursors.
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Sharika
11 months ago
I feel like creating a custom index could improve query performance, but I’m not entirely sure how that interacts with memory issues.
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Twana
11 months ago
I think increasing the memory limits for Cloud Run could help, but it might just be a temporary fix. We should really focus on optimizing the queries.
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Tasia
11 months ago
I remember we discussed optimizing Firestore queries in class, but I'm not sure if using cursors or offsets is better for performance.
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Dominic
11 months ago
Modifying the query to use integer offsets instead of cursors is an interesting idea, but I'm not sure if that will have the same performance benefits. I'll need to weigh the pros and cons of each approach.
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Gracia
11 months ago
Creating a custom index over the products could help speed up the queries, but I'm not sure if that alone will be enough to prevent the Cloud Run instances from crashing. I'll need to consider a more comprehensive solution.
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Sunshine
11 months ago
Cursors with limits sounds like a good way to optimize the Firestore queries and reduce the load on the system. I'll make sure to research that approach in more detail.
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Vallie
11 months ago
Hmm, the memory limits issue on Cloud Run is definitely the key problem to address here. I'm leaning towards modifying the Cloud Run configuration to increase the memory limits.
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Noe
11 months ago
This seems like a tricky one. I'll need to think through the different options carefully to figure out the best approach.
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Dulce
11 months ago
Okay, I remember learning that IPv4 addresses are made up of 4 octets, each 8 bits long. So the total length must be 32 bits. I'll select A.
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Verda
11 months ago
Okay, I think I've got it. The key is in the "type of database use" column - it says "application data access only", so the database can't be used for certain other purposes.
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Ruth
2 years 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
2 years 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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Wilda
2 years ago
Agreed, let's go ahead and implement the solution and keep an eye on the system's performance.
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Ezekiel
2 years ago
Let's make the changes and monitor the performance to see if it helps with the memory limits issue.
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Mary
2 years ago
Definitely, optimizing the queries will benefit the overall system in the long run.
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Micheal
2 years ago
I'm on board with that plan, it seems like the most efficient way to handle the situation.
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Krystal
2 years ago
Sounds good to me, let's implement that solution to prevent Cloud Run from crashing during busy times.
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Theodora
2 years ago
I agree, it will help optimize the system performance and reduce the number of Firestore queries.
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Lottie
2 years ago
I think we should go with option B and modify the query with cursors and limits.
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Jannette
2 years 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
2 years 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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