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Google Professional Cloud Database Engineer Exam - Topic 6 Question 15 Discussion

Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?
A) Watch Query Insights for long running queries.
B) Watch the Cloud SQL instance monitor for CPU utilization metrics.
C) Watch the Cloud SQL recommenders for overprovisioned instances.
D) Watch Cloud Trace for application requests that are failing.

Google Professional Cloud Database Engineer Exam - Topic 6 Question 15 Discussion

Actual exam question for Google's Professional Cloud Database Engineer exam
Question #: 15
Topic #: 6
[All Professional Cloud Database Engineer Questions]

Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

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Suggested Answer: A

by Ernie at Feb 24, 2023, 10:44 PM

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Reyes
10 months ago
Wait, how does Sqlcommenter help with this?
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Patti
10 months ago
C? Really? Overprovisioning might not be the main problem.
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Silva
10 months ago
B seems useful, but not sure if it’s the root cause.
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Marget
11 months ago
A is important too, long queries can be a big issue.
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Meghann
11 months ago
Definitely D, gotta track those failing requests!
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Selene
11 months ago
I practiced a similar question where we had to analyze performance metrics, and I think Cloud Trace was the right choice there too.
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Lore
11 months ago
I feel like monitoring CPU utilization could help, but it might not pinpoint the exact cause of the failures.
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Lorean
11 months ago
I'm not entirely sure, but I remember something about Query Insights being useful for identifying long-running queries.
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Nu
11 months ago
I think watching Cloud Trace for application requests that are failing makes sense since it directly relates to the microservices.
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Colette
11 months ago
Blockchain is all about decentralization, so A has to be the right answer.
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Talia
11 months ago
I'm a little confused by this question. The options all seem relevant, but I'm not sure which one is the most important or "key" responsibility. I'll have to review my notes and try to figure out the best answer.
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Cherelle
11 months ago
Hmm, I'm not sure about this. The question mentions the database being protected, but doesn't explicitly say the Message Screening pattern is used for that purpose. I'll have to think this through carefully.
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Maia
1 year ago
I'm leaning towards D as well. Monitoring the Cloud SQL metrics and recommendations is useful, but won't directly tell us why the microservices are failing.
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Ashlee
1 year ago
D) Watch Cloud Trace for application requests that are failing.
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Adaline
1 year ago
B) Watch the Cloud SQL instance monitor for CPU utilization metrics.
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Junita
1 year ago
A) Watch Query Insights for long running queries.
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Gianna
1 year ago
I was also thinking D. Watching the application traces is the best way to see where the issues are occurring and troubleshoot the microservice failures.
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Lucia
1 year ago
Option D seems like the way to go. Cloud Trace should give us the visibility we need to identify the failing requests and pinpoint the root cause.
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Alex
1 year ago
I agree. Cloud Trace will definitely help us troubleshoot and resolve the issues quickly.
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Georgeanna
1 year ago
Option D seems like the way to go. Cloud Trace should give us the visibility we need to identify the failing requests and pinpoint the root cause.
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Tequila
1 year ago
But shouldn't we also consider watching Query Insights for long running queries?
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Nicholle
1 year ago
I agree with Joesph, Cloud Trace can help identify the root cause.
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Joesph
1 year ago
I think we should watch Cloud Trace for failing requests.
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