Google Exam Professional Cloud Architect Topic 5 Question 90 Discussion

Actual exam question for Google's Professional Cloud Architect exam

Question #: 90
Topic #: 5

[All Professional Cloud Architect Questions]

You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?

AEnable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics

BConfigure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster

CUse Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold

DInstall Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)

Show Suggested Answer

Suggested Answer: D

https://cloud.google.com/service-mesh/docs/overview

https://cloud.google.com/service-mesh/docs/observability/slo-overview

by Karol at Aug 27, 2024, 06:49 PM

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Major

9 months ago

Option D, where the Google Cloud Console does all the work for me? Sign me up! I'll call that the 'Netflix and chill' approach to SRE.

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Timothy

8 months ago

Samira: That's true, but sometimes it's nice to have a hands-off approach with Option D.

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Isreal

8 months ago

I prefer Option A, enabling Cloud Trace API and using Cloud Monitoring Alerts. It gives me more control.

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Samira

9 months ago

Yeah, it's like Netflix and chill for SRE. Set it and forget it.

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Jacqueline

9 months ago

Option D sounds like the easy way out. Just let Google Cloud Console handle everything.

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Tesha

9 months ago

That's a good point, Twana. We should consider all options before making a decision.

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Rima

9 months ago

Option C is interesting, but using Cloud Profiler just to create a custom metric feels a bit overkill. Why not just use Anthos Service Mesh like in Option D?

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Rhea

9 months ago

Option B is the way to go. Anthos Config Management - the Swiss Army knife of Kubernetes config management!

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Margart

9 months ago

That's a great choice! Anthos Config Management is really powerful for managing configurations in Kubernetes.

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Corinne

9 months ago

B) Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster

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Twana

10 months ago

I see your point, Lashon. But I think option C is also a good option. Cloud Profiler can provide valuable insights for creating custom metrics.

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Lashon

10 months ago

I disagree, I believe option B is more suitable. Anthos Config Management allows us to define SLO and alerting policy.

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Tesha

10 months ago

I think option A is the best choice. Cloud Trace API can help us monitor request latency.

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Julieta

10 months ago

Option A seems like a good choice, but I'm not sure if it covers the 'specified amount of time' requirement. Cloud Trace might just give us instant metrics.

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Sheron

9 months ago

A) Cloud Trace does provide the ability to set up alerts based on specific conditions, including duration. It should cover the 'specified amount of time' requirement.

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Barrie

9 months ago

C) Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold

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Nichelle

9 months ago

B) Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster

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Golda

10 months ago

A) Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics

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