Google Exam Professional-Cloud-DevOps-Engineer Topic 11 Question 62 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam

Question #: 62
Topic #: 11

[All Professional Cloud DevOps Engineer Questions]

You need to introduce postmortems into your organization during the holiday shopping season. You are expecting your web application to receive a large volume of traffic in a short period. You need to prepare your application for potential failures during the event What should you do?

Choose 2 answers

AMonitor latency of your services for average percentile latency.

BReview your increased capacity requirements and plan for the required quota management.

CCreate alerts in Cloud Monitoring for all common failures that your application experiences.

DEnsure that relevant system metrics are being captured with Cloud Monitoring and create alerts at levels of interest.

EConfigure Anthos Service Mesh on the application to identify issues on the topology map.

Show Suggested Answer

Suggested Answer: B, D

by Raymon at Mar 07, 2024, 04:34 AM

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6 months ago

Yeah, no kidding. And imagine trying to troubleshoot issues in the middle of the holiday rush without any visibility into what's going on. That would be a nightmare!

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Remedios

6 months ago

D) Ensure that relevant system metrics are being captured with Cloud Monitoring and create alerts at levels of interest.

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Christiane

6 months ago

A) Monitor latency of your services for average percentile latency.

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Nettie

6 months ago

Haha, I can just imagine the chaos if we don't have proper monitoring and alerting set up. The users are going to be swarming the website like a horde of angry bees if it starts crashing!

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Sharee

6 months ago

I agree, the question is focused on preparing the application for potential failures during the holiday shopping season. Answers B and D seem like the most relevant ones to me - we need to review capacity requirements and set up monitoring and alerts for the important system metrics.

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Misty

6 months ago

This question is definitely trying to assess our understanding of monitoring and alerting for a high-traffic web application. I think the key is to identify the critical metrics and set up appropriate alerts to catch any issues early on.

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