Google Professional Cloud DevOps Engineer Exam - Topic 1 Question 66 Discussion

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

Question #: 66
Topic #: 1

[All Professional Cloud DevOps Engineer Questions]

You need to create a Cloud Monitoring SLO for a service that will be published soon. You want to verify that requests to the service will be addressed in fewer than 300 ms at least 90% Of the time per calendar month. You need to identify the metric and evaluation method to use. What should you do?

ASelect a latency metric for a request-based method of evaluation.

BSelect a latency metric for a window-based method of evaluation.

CSelect an availability metric for a request-based method of evaluation.

DSelect an availability metric for a window-based method Of evaluation.

Show Suggested Answer

Suggested Answer: B

by Gail at Apr 29, 2024, 04:56 AM

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Jenelle

6 months ago

C is a no-go; we need to focus on latency metrics for this SLO.

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Dorothea

6 months ago

90% uptime is pretty standard, but 300 ms seems tight!

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Abraham

6 months ago

Wait, are we really measuring latency or availability here?

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Anjelica

7 months ago

I think B could work too, but not sure it's the best choice.

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Jacqueline

7 months ago

A is definitely the way to go for latency!

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Elli

7 months ago

I lean towards option A, but I wonder if there's a scenario where a window-based method might be better for this kind of SLO.

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Ena

7 months ago

I practiced a similar question, and I feel like selecting a latency metric is key here, but I can't recall if it should be request-based or window-based.

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Rodolfo

7 months ago

I'm not entirely sure, but I remember something about window-based evaluations being useful for tracking performance over time.

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Glenna

8 months ago

I think we should focus on latency since the question specifies response times. A request-based method seems more appropriate for that.

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Oren

8 months ago

This seems pretty straightforward. The question is asking for a latency SLO, so I'll go with option A to select a latency metric and a request-based evaluation method.

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Cecil

8 months ago

I'm not totally sure about this one. I think I need to understand the difference between the evaluation methods before I can decide. Maybe I'll come back to this one after reviewing that part.

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Louvenia

8 months ago

Okay, I've got this. I need to select a latency metric and a request-based evaluation method to meet the 90% of requests under 300ms per month requirement. Option A seems like the right choice here.

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Shantay

8 months ago

Hmm, I'm a bit confused. Do we need to use a latency metric or an availability metric? And what's the difference between a request-based and window-based evaluation method?

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Delsie

8 months ago

This looks like a straightforward SLO question. I think the key is to focus on the requirement of 90% of requests being addressed in under 300ms per calendar month.

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Paola

8 months ago

Hmm, this looks like a tricky one. I'll need to carefully read through the options and think about how to create the QlikView documents with the Year field.

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Tayna

8 months ago

I'm leaning towards Average Value, but I'm not 100% confident. I'll have to review my notes on how Analytics policies work in NetProfiler.

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Tommy

1 year ago

A) is the way to go. Gotta love these exam questions that are pretty much fill-in-the-blank. Though I'm still trying to figure out why the service will be 'published soon' - is it going to be a bestselling novel or something?

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Cruz

1 year ago

Hmm, this one's a no-brainer. A) is the right choice - latency metric and request-based evaluation. Though I'm a bit curious why they didn't just say 'select option A' instead of all this mumbo-jumbo.

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Domingo

1 year ago

A) is the clear winner here. Latency is the metric you need, and a request-based method is the way to go to meet the 90% threshold per calendar month.

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Loren

1 year ago

Definitely go with A) Select a latency metric for a request-based method of evaluation. That's the only option that matches the criteria of verifying requests are addressed in fewer than 300 ms at least 90% of the time.

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