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Google Professional Cloud DevOps Engineer Exam - Topic 2 Question 13 Discussion

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?
B) Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
A) Use Stackdriver Kubernetes Engine Monitoring.
C) Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
D) Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

Google Professional Cloud DevOps Engineer Exam - Topic 2 Question 13 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 13
Topic #: 2
[All Professional Cloud DevOps Engineer Questions]

You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

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Suggested Answer: B

by Johnetta at May 09, 2022, 02:27 PM

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Fernanda
10 months ago
Wait, can you really track all that with just Stackdriver?
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Kanisha
10 months ago
D seems a bit overkill for just CPU and memory.
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Hollis
11 months ago
C sounds like a solid approach too.
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Chantell
11 months ago
I think B is better for detailed insights!
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Nguyet
11 months ago
A is the easiest way to monitor GKE resources.
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Bernadine
11 months ago
Option D seems interesting, but exporting logs to BigQuery feels like an extra step. I’m not confident it would give us the real-time insights we need for CPU and memory usage.
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Glory
11 months ago
I’m leaning towards option C with the Stackdriver Monitoring API. Custom metrics sound useful, but I’m not clear on how to group the containers effectively.
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Fatima
11 months ago
I remember practicing a question about monitoring with Prometheus and Grafana. It seemed like a solid choice for detailed analysis, but I wonder if it’s overkill for just checking CPU and memory.
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Lavonna
11 months ago
I think using Stackdriver Kubernetes Engine Monitoring might be the best option since it’s specifically designed for GKE. But I'm not entirely sure if it covers all the metrics we need.
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Novella
11 months ago
Hmm, I'm not sure about this one. I'll have to think it through carefully.
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Rosalia
11 months ago
Hmm, this one seems a bit tricky. I'll need to think through the different types of work in Genesys WFM and which ones don't use service objectives.
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Judy
11 months ago
Hmm, I'm a bit unsure about this one. The question mentions the BA is planning to share the impact of changes, so I'm thinking the technique should facilitate discussion and feedback from stakeholders. Maybe workshops or focus groups would work best here?
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