Google Exam Professional Cloud DevOps Engineer Topic 1 Question 64 Discussion

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

Question #: 64
Topic #: 1

[All Professional Cloud DevOps Engineer Questions]

You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do?

Choose 2 answers

AExamine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.

BExamine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.

C17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.

DO Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.

EExamine the heap usage Of the application. If the usage is low, mark the application for optimization.

Show Suggested Answer

Suggested Answer: A, D

The correct answers are A and D)

Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the CPU resource allocation. This is a good way to determine if the application is CPU-bound, meaning that it spends more time waiting for the CPU than performing actual computation. Increasing the CPU resource allocation can improve the performance of CPU-bound applications1.

Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization. This is a good way to determine if the application is I/O-bound, meaning that it spends more time waiting for input/output operations than performing actual computation. Increasing the CPU resource allocation will not help I/O-bound applications, and they may need optimization to reduce the number or duration of I/O operations2.

Answer B is incorrect because increasing the memory resource allocation will not help if the application is CPU-bound or I/O-bound. Memory allocation affects how much data the application can store and access in memory, but it does not affect how fast the application can process that data.

Answer C is incorrect because increasing the local disk storage allocation will not help if the application is CPU-bound or I/O-bound. Disk storage affects how much data the application can store and access on disk, but it does not affect how fast the application can process that data.

Answer E is incorrect because examining the heap usage of the application will not help to determine if the application needs performance tuning. Heap usage affects how much memory the application allocates for dynamic objects, but it does not affect how fast the application can process those objects. Moreover, low heap usage does not necessarily mean that the application is inefficient or unoptimized.

by Penney at Apr 10, 2024, 06:40 AM

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Remona

5 months ago

Agreed. It's important to analyze these metrics to improve performance.

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Jesusa

5 months ago

True, if the usage is low, then we can mark the application for optimization.

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Belen

5 months ago

Examine the heap usage as well. That could indicate if an application needs optimization.

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Xuan

5 months ago

I think we should also look at the latency time and error budget.

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Gail

5 months ago

We should examine the wall-clock time and CPU time of the application.

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Cortney

6 months ago

What should we do to determine which applications need performance tuning?

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Carli

6 months ago

We can look at those too, but I think focusing on CPU and memory first is a good starting point.

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Viola

6 months ago

But what about latency time and heap usage? Shouldn't we consider those as well?

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Carli

6 months ago

That's a good point, Excessive memory usage can also affect performance.

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Daniel

6 months ago

I'm not sure. Maybe we should also look at memory resource allocation.

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Viola

6 months ago

I agree with If there's a big difference, we should increase CPU resource allocation.

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Carli

7 months ago

I think we should examine the wall-clock time and the CPU time first.

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Lawrence

8 months ago

I'm with you on that. Examining the heap usage is also a good idea, as low usage could indicate opportunities for optimization. But I wouldn't just blindly mark an application for optimization based on that. We need to look at the full picture.

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Kenneth

8 months ago

Haha, 'mark the application for optimization'? That's a fancy way of saying 'let's try to make it run better'.

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Octavio

8 months ago

Increasing the CPU or memory resources might not necessarily solve the issue. We should first try to identify the bottleneck and then optimize the application accordingly. The question is asking for two answers, so I think D and E are the best choices here.

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Huey

8 months ago

Yeah, I agree. We should also look at the latency time and see if it's burning through the error budget. If the latency is high but the difference between wall-clock and CPU time is minimal, then the application might need optimization.

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Jesus

8 months ago

Good point, ita. Option D does mention looking at latency time as well. If the latency time is the issue and the wall-clock and CPU time difference is minimal, then we should mark the application for optimization.

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Hermila

7 months ago

E) Examine the heap usage of the application. If the usage is low, mark the application for optimization.

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Hannah

7 months ago

B) Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.

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Jesusita

8 months ago

You know, I was thinking the same thing. But what about the latency time? Shouldn't we also be looking at that, especially if it's burning down the error budget?

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Adela

8 months ago

Hmm, this is an interesting question. I think the key here is to look at the difference between the wall-clock time and the CPU time of the application. If there's a substantial difference, it could indicate that the application is waiting on something, like I/O or network latency.

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William

8 months ago

I'm with Tegan on this one. The difference between wall-clock time and CPU time is a good indicator of where the performance bottleneck might be. Increasing the CPU resource allocation seems like the logical first step.

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Tegan

8 months ago

Hmm, I think the key here is to focus on the difference between wall-clock time and CPU time. If that difference is substantial, then we should look at increasing the CPU resource allocation.

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Heike

8 months ago

Whoa, this question is a tricky one! I'm not sure if I can confidently choose the right answers. The options all seem plausible, but I'm not sure how to differentiate them.

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Fernanda

8 months ago

D) Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.

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Alayna

8 months ago

A) Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.

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