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Google Exam Professional Cloud DevOps Engineer 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

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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.


Contribute your Thoughts:

Malcolm
7 months 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
7 months 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
7 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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Dong
7 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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Nieves
7 months 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
7 months 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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