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Google Professional Cloud DevOps Engineer Exam - Topic 12 Question 59 Discussion

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
A) Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation. and D) O 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.
B) Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.
C) 17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.
E) Examine the heap usage Of the application. If the usage is low, mark the application for optimization.

Google Professional Cloud DevOps Engineer Exam - Topic 12 Question 59 Discussion

Actual exam question for Google's Professional Cloud DevOps Engineer exam
Question #: 59
Topic #: 12
[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

Show Suggested Answer Hide 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 Yolando at Dec 22, 2023, 08:16 PM

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Gayla
9 months ago
Surprised that heap usage isn't a priority for optimization!
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Aileen
9 months ago
Memory allocation might not be the best choice here.
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Melissa
10 months ago
Wait, why would we increase local disk storage? That seems off.
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Jimmie
10 months ago
Totally agree, D is the way to go!
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Dalene
10 months ago
Gotta check wall-clock vs CPU time first!
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Izetta
10 months ago
I definitely recall that if wall-clock time and CPU time differ a lot, it usually indicates a need for more resources, but I can't remember which resource to prioritize.
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Huey
11 months ago
I feel like examining heap usage could be useful, but I'm not confident if low usage means we should optimize. It seems counterintuitive.
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Clement
11 months ago
I think we practiced a question like this where we had to look at latency and error budgets. That might be relevant here, especially with option D.
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Yun
11 months ago
I remember something about wall-clock time and CPU time being important for performance tuning, but I'm not sure if increasing CPU or memory is the right approach.
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Celestina
11 months ago
I'm not sure about the local disk storage allocation option. I don't think that would be the right approach here, but I'll double-check the details to make sure.
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Merilyn
11 months ago
Okay, I think I've got a good strategy here. I'll look at the latency time, wall-clock time, and CPU time, and if the latency time is slowly burning down the error budget and the difference between wall-clock and CPU time is minimal, I'll mark that application for optimization.
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Zoila
11 months ago
Hmm, I'm a bit confused about the difference between wall-clock time and CPU time. I'll need to make sure I understand that properly before I can decide which option to choose.
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Mona
11 months ago
This looks like a pretty straightforward question. I think I'll start by examining the wall-clock time and CPU time of the applications to see if there's a substantial difference.
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German
11 months ago
I'm feeling pretty confident about this question. I know that if the wall-clock time and CPU time have a substantial difference, I should increase the CPU resource allocation. But I'll also keep the other options in mind just in case.
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Karina
11 months ago
I'm pretty sure the answer is A and B, but I'm not 100% confident. I'll double-check the Spring documentation to make sure.
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Karol
11 months ago
Ah, I remember this one now! The Daily Scrum is specifically for the Development Team to sync up. The Scrum Master and Product Owner can attend, but they don't have to. I'll select option B.
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Marya
11 months ago
Hmm, I'm a bit unsure about this one. The response seems to have some JSON data, but I'm not sure if that's considered part of the response header or not. I'll have to think this through carefully.
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Jesusita
11 months ago
I think we had a similar question in practice about RDS user permissions. I'm leaning towards "False" since it seems odd that only one account can control permissions.
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Malcolm
2 years ago
I'm not sure about option E. Examining the heap usage alone doesn't seem like a reliable way to determine if an application needs tuning. There could be other performance bottlenecks that aren't related to memory usage.
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Lili
2 years ago
I agree with Nieves. Option D seems to be the most comprehensive approach. Examining just the wall-clock time and CPU time difference may not give you the full picture, as there could be other factors affecting performance, like latency.
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Irene
2 years 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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Dong
2 years 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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Nieves
2 years ago
I'm leaning towards option D. The question is asking us to determine which applications need performance tuning, and option D seems to address that the best. It mentions looking at latency time, wall-clock time, and CPU time to identify applications that need optimization.
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Eleonore
2 years ago
This is a tricky question. I'm not sure if I should choose option A or D. What do you guys think?
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