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Google Professional Cloud Architect Exam - 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?

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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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Belen
3 months ago
C might be overkill for just latency tracking.
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Garry
3 months ago
D is solid if you're already using Anthos Service Mesh.
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Barb
4 months ago
Wait, can you really use Cloud Profiler for this? Sounds odd.
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Elbert
4 months ago
I think B could work too, but it seems more complex.
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Sol
4 months ago
A is the way to go for latency alerts!
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Kimberlie
4 months ago
I’m a bit confused about whether to use Anthos Config Management or just set up alerts directly in Cloud Monitoring. Both seem relevant to the question.
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Silvana
5 months ago
I feel like we did a similar question where we had to choose between Cloud Trace and Cloud Profiler. I think Cloud Trace might be the right choice here.
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Kimi
5 months ago
I think option D sounds familiar because we practiced setting up SLOs with Anthos Service Mesh, but I can't recall the exact steps.
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Ivory
5 months ago
I remember we talked about using Cloud Monitoring for alerts, but I'm not sure if it was specifically for request latency.
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In
5 months ago
I'm leaning towards option C. Using Cloud Profiler to track the request latency and then creating a custom metric and alerting policy in Cloud Monitoring seems like a comprehensive solution. I'll make sure I understand how to set that up properly.
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Arlette
5 months ago
Option B looks interesting - using Anthos Config Management to define the SLO and alerting policy. That could be a good way to manage the configuration as code. I'll need to research that approach a bit more.
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Karon
5 months ago
This seems like a straightforward question about monitoring and alerting on Anthos clusters. I think I'll go with option A - enabling the Cloud Trace API and using Cloud Monitoring Alerts.
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Marsha
5 months ago
Hmm, I'm a bit unsure about this one. The options seem to cover different tools and approaches. I'll need to think through the details of each one to decide which is the best fit for the given requirements.
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Vincent
5 months ago
This looks like a classic IAM management question. I think the best approach here is to use IAM groups to organize access based on department or job function. That way we can easily add and remove users from groups as needed.
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Owen
5 months ago
I've got this one! Class C is the answer for fires involving energized electrical equipment.
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Major
1 year 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
1 year ago
Samira: That's true, but sometimes it's nice to have a hands-off approach with Option D.
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Isreal
1 year ago
I prefer Option A, enabling Cloud Trace API and using Cloud Monitoring Alerts. It gives me more control.
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Samira
1 year ago
Yeah, it's like Netflix and chill for SRE. Set it and forget it.
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Jacqueline
1 year ago
Option D sounds like the easy way out. Just let Google Cloud Console handle everything.
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Tesha
1 year ago
That's a good point, Twana. We should consider all options before making a decision.
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Rima
2 years 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
2 years ago
Option B is the way to go. Anthos Config Management - the Swiss Army knife of Kubernetes config management!
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Margart
1 year ago
That's a great choice! Anthos Config Management is really powerful for managing configurations in Kubernetes.
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Corinne
1 year 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
2 years 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
2 years 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
2 years ago
I think option A is the best choice. Cloud Trace API can help us monitor request latency.
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Julieta
2 years 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
1 year 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
1 year 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
1 year 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
2 years 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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