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Google Professional Cloud DevOps Engineer Exam - Topic 5 Question 95 Discussion

[Building and implementing service monitoring strategies]Your organization is running multiple Google Kubernetes Engine (GKE) clusters in a project. You need to design a highly-available solution to collect and query both domain-specific workload metrics and GKE default metrics across all clusters, while minimizing operational overhead. What should you do?
C) Enable managed collection on every GKE cluster. Query the metrics in Cloud Monitoring.
A) Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Ensure that a Thanos sidecar is enabled on every Prometheus instance. Configure Thanos in the central cluster. Query the central Thanos instance.
B) Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Configure remote-write to one central Prometheus. Query the central Prometheus instance.
D) Enable managed collection on every GKE cluster. Query the metrics in BigQuery.

Google Professional Cloud DevOps Engineer Exam - Topic 5 Question 95 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 95
Topic #: 5
[All Professional Cloud DevOps Engineer Questions]

[Building and implementing service monitoring strategies]

Your organization is running multiple Google Kubernetes Engine (GKE) clusters in a project. You need to design a highly-available solution to collect and query both domain-specific workload metrics and GKE default metrics across all clusters, while minimizing operational overhead. What should you do?

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Suggested Answer: C

by Reena at Aug 02, 2025, 04:08 AM

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Gregoria
9 months ago
Wait, can managed collection really handle all that?
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Bronwyn
9 months ago
I agree, remote-write simplifies things a lot!
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Youlanda
9 months ago
I like option C for its simplicity and integration with Cloud Monitoring.
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Chandra
9 months ago
Option A is overkill, Thanos is not always necessary.
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Lauryn
9 months ago
I think option B is the best for centralizing metrics.
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Denise
10 months ago
I feel like using BigQuery for querying metrics could be overkill, but I’m not entirely sure how it compares to the other options.
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Elbert
10 months ago
I practiced a similar question where we had to choose between Prometheus and Cloud Monitoring, and I think Cloud Monitoring might be less operationally heavy.
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Valene
10 months ago
I think enabling managed collection sounds simpler, but I can't recall if it provides all the metrics we need.
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Karl
10 months ago
I remember discussing Prometheus and Thanos in class, but I'm not sure if I should go with the sidecar option or just use remote-write.
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Willie
11 months ago
I'm leaning towards option A with Prometheus and Thanos. It seems like the most comprehensive solution that would meet all the requirements, even if it might be a bit more complex to set up initially. The high availability and centralized querying capabilities are really important for this use case.
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Kayleigh
11 months ago
Option C looks tempting - using the managed collection in Cloud Monitoring could be a simpler solution. But I'm not sure if that would give me the same level of control and flexibility as running my own Prometheus setup. I'll have to weigh the trade-offs carefully.
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Ines
11 months ago
Hmm, I'm a bit unsure about this one. The question is asking for a "highly-available" solution, and I'm not sure if the remote-write approach in option B would be as robust as the Thanos setup in option A. I'll need to think this through carefully.
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Ling
11 months ago
This looks like a pretty straightforward question on monitoring strategies for GKE clusters. I think I'll go with option A - using Prometheus Operator and Thanos to set up a centralized monitoring solution. Thanos should give me the high availability and querying capabilities I need across all the clusters.
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Reita
12 months ago
I agree with Daron, using Prometheus Operator with Thanos sidecar seems like a good solution.
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Shawna
1 year ago
Remote-write to Prometheus? That's like the monitoring equivalent of copy-pasting code from StackOverflow. Gotta love it!
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Lina
1 year ago
Prometheus and Thanos, huh? Reminds me of the old days when we had to build our own monitoring stack from scratch. Ah, the good old days!
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Deangelo
1 year ago
BigQuery, eh? Interesting choice, but I'm not sure how well it would handle real-time metric queries.
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Leigha
1 year ago
Managed collection in Cloud Monitoring? Sounds convenient, but I wonder how much control we'd have.
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Daron
1 year ago
I think option A is the best choice.
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Cory
1 year ago
Remote-write to a central Prometheus? Nice and simple, I like it.
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Martha
1 year ago
Prometheus Operator with Thanos? Sounds like a lot of moving parts, but I guess it's the most flexible solution.
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Marti
1 year ago
A) Prometheus Operator with Thanos can be complex, but it offers flexibility.
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Loren
1 year ago
B) Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Configure remote-write to one central Prometheus. Query the central Prometheus instance.
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Louann
1 year ago
A) Use Prometheus Operator to install Prometheus in every cluster and scrape the metrics. Ensure that a Thanos sidecar is enabled on every Prometheus instance. Configure Thanos in the central cluster. Query the central Thanos instance.
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