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Google Professional Cloud Developer Exam - Topic 12 Question 25 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 25
Topic #: 12
[All Professional Cloud Developer Questions]

Your application is controlled by a managed instance group. You want to share a large read-only data set

between all the instances in the managed instance group. You want to ensure that each instance can start quickly and can access the data set via its filesystem with very low latency. You also want to minimize the total cost of the solution.

What should you do?

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Suggested Answer: C

by Brittni at May 07, 2022, 10:29 PM

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Laticia
4 months ago
Persistent disk in read-only mode (C) is definitely cost-effective!
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Floyd
4 months ago
Boot disk copy (B) seems inefficient for large data sets.
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Yuki
4 months ago
Surprised that snapshots (D) are even an option here!
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Kathryn
4 months ago
I disagree, Cloud Storage FUSE (A) could work too.
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Nidia
5 months ago
Option C is the best for low latency access!
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Josephine
5 months ago
I feel like using a Compute Engine persistent disk in read-only mode is a solid option, but I can't recall if there are any limitations on that.
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Kristofer
5 months ago
I think copying data to the boot disk via a startup script could work, but it might slow down instance startup times.
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Sage
5 months ago
I remember we discussed using Cloud Storage FUSE, but I'm not sure if it offers the low latency we need for all instances.
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Trina
5 months ago
Taking a snapshot and creating multiple disks sounds efficient, but I wonder if it would be more costly than just using a single persistent disk.
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Linn
5 months ago
Hmm, this seems like a tricky one. I'll need to think through the possible reasons for the import failure carefully.
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Ngoc
5 months ago
I think the "On-Demand Update" module would be the best choice here, as it allows you to get the latest information from the NVD at any time.
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Carry
5 months ago
Hmm, I'm a bit confused. The question mentions 429 responses, which are rate-limiting errors. Wouldn't distributing the uploads across multiple buckets (option A) be a better solution to handle the high request volume?
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Cathrine
5 months ago
Hmm, the quotaExceeded error is a bummer. I'm thinking option C might be the way to go - splitting the CSV file into smaller chunks could help reduce the number of UPDATE statements.
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