Google Exam Professional-Cloud-Developer Topic 4 Question 78 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 78
Topic #: 4

[All Professional Cloud Developer Questions]

You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

ANavigate to the Cloud Run page in the Google Cloud console, and select the service from the services list.
Use the Metrics tab to visualize the number of errors for that revision and refresh the page daily.

BCreate a Cloud Function that consumes the Cloud Monitoring API Use Cloud Composer to trigger the Cloud
Function daily and alert you if the number of errors is above the defined threshold.

CCreate an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined
threshold.

DCreate a Cloud Function that consumes the Cloud Monitoring API Use Cloud Scheduler to trigger the Cloud
Function daily and alert you if the number of errors is above the defined threshold

Show Suggested Answer

Suggested Answer: B

by Tegan at Mar 18, 2024, 02:28 PM

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Lashawn

3 months ago

I still think setting up an alerting policy directly in Cloud Monitoring is the simplest solution.

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Viva

3 months ago

That's true, automation would save time and ensure timely alerts.

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Man

3 months ago

I think using Cloud Function with Cloud Scheduler would provide a more automated approach.

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Cristen

3 months ago

But wouldn't it be more efficient to use Cloud Function with Cloud Composer to trigger the alert?

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Lashawn

4 months ago

I agree, setting up an alerting policy seems like the most direct way to get notified.

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Viva

4 months ago

I think the best option is to create an alerting policy in Cloud Monitoring.

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Janet

4 months ago

I think I would still prefer option C for simplicity, but I can see the benefits of automating with Cloud Function and Cloud Scheduler.

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Maricela

4 months ago

That's a good point. Maybe it's worth considering option D for a more automated approach.

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Milly

4 months ago

But wouldn't it be more proactive to use a Cloud Function with Cloud Scheduler to alert us daily?

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Karrie

4 months ago

I agree, setting up an alerting policy in Cloud Monitoring seems like the best choice to get notified quickly.

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Caprice

5 months ago

I think option C sounds like the easiest and most straightforward solution.

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Eliz

6 months ago

Haha, yeah, I hear you. Anything that can save us from writing and maintaining more code is a win in my book. Option C is definitely the easiest and most straightforward solution here.

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Keena

5 months ago

Creating an alerting policy in Cloud Monitoring is the way to go for this scenario.

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Tegan

5 months ago

Agreed, simplicity is key when dealing with production issues.

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Tammara

6 months ago

I prefer solutions that require minimal code and maintenance.

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Beula

6 months ago

It's simple and effective to get notified when errors exceed 15% of requests.

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Willie

6 months ago

Yeah, I agree. Setting up an alerting policy in Cloud Monitoring is convenient.

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Veronica

6 months ago

Option C is definitely the easiest and most straightforward solution here.

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Mel

6 months ago

Yeah, I was leaning towards option C as well. It's simple, out-of-the-box, and will get the job done without any extra overhead. Plus, I don't really want to be responsible for managing a Cloud Function or a Composer workflow, you know?

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Rosendo

6 months ago

I agree with Vesta. Option C seems like the way to go. It's built-in functionality in Google Cloud, so we don't need to worry about setting up any additional infrastructure like a Cloud Function or Cloud Composer.

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Vesta

6 months ago

Hmm, this is a pretty straightforward question. I think the best approach here is option C - creating an alerting policy in Cloud Monitoring. It's the most direct and efficient way to get alerted when the error rate exceeds the threshold.

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