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Google Professional Cloud Developer Exam - Topic 13 Question 70 Discussion

You are monitoring a web application that is written in Go and deployed in Google Kubernetes Engine. You notice an increase in CPU and memory utilization. You need to determine which source code is consuming the most CPU and memory resources. What should you do?
B) Import the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.
A) Download, install, and start the Snapshot Debugger agent in your VM. Take debug snapshots of the functions that take the longest time. Review the call stack frame, and identify the local variables at that level in the stack.
C) Import OpenTelemetry and Trace export packages into your application, and create the trace provider. Review the latency data for your application on the Trace overview page, and identify where bottlenecks are occurring.
D) Create a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.

Google Professional Cloud Developer Exam - Topic 13 Question 70 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 70
Topic #: 13
[All Professional Cloud Developer Questions]

You are monitoring a web application that is written in Go and deployed in Google Kubernetes Engine. You notice an increase in CPU and memory utilization. You need to determine which source code is consuming the most CPU and memory resources. What should you do?

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Suggested Answer: B

by Gary at Oct 08, 2023, 03:03 AM

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Deandrea
9 months ago
Wait, you can use the Snapshot Debugger for this? I had no idea!
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Caprice
10 months ago
D seems like a lot of manual work for something that could be automated.
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Yvette
10 months ago
C sounds interesting, but does it really help with CPU usage?
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Malcolm
10 months ago
I think A could work too, but it seems more complicated.
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Tyra
10 months ago
B is definitely the way to go for profiling in GCP.
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Reuben
10 months ago
The Cloud Logging query option seems like a workaround. I feel like it might not be as effective as directly profiling the application.
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Carey
11 months ago
I recall that OpenTelemetry can provide insights into tracing, but I wonder if it gives enough detail on CPU and memory specifically.
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Kaycee
11 months ago
I practiced a similar question where we had to identify performance bottlenecks. I feel like the Snapshot Debugger might be useful, but it seems more complex than necessary.
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Edna
11 months ago
I think using the Cloud Profiler package sounds familiar. I remember it helps visualize performance issues, but I'm not sure if it's the best choice here.
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Lou
11 months ago
I'm feeling pretty confident about this one. I think option A is the way to go. Downloading the Snapshot Debugger and analyzing the call stack and local variables seems like the most thorough approach to identify the source code consuming the most resources.
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Caitlin
11 months ago
Option C looks promising to me. Using OpenTelemetry and Trace to analyze the latency data for the application could help pinpoint where the bottlenecks are occurring. That seems like a good way to get to the root of the performance issues.
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Roselle
11 months ago
Hmm, I'm a bit confused by all the different tools and packages mentioned. I'll need to review the details of each option more carefully to decide which one is the most appropriate for this scenario.
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Delmy
11 months ago
This seems like a tricky one. I'm not sure if I fully understand the different options, but I think B might be the best approach since it mentions using the Cloud Profiler to identify time-intensive functions.
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Mari
11 months ago
Okay, let me see... I know correlation rules are used to identify patterns across multiple events, so that seems like the most likely answer here.
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Patti
11 months ago
Hmm, this one's tricky. I'll need to think it through carefully. Maybe start by considering how each option could impact customer satisfaction.
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Bette
11 months ago
I'm a bit confused by the wording of these options. I'll need to think through each one carefully to determine the correct purpose of provisioning.
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Carman
11 months ago
I remember practicing similar questions, and I think the one about the signal strength at location C being too weak for web surfing could definitely be true based on typical thresholds.
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Jutta
11 months ago
Okay, I've got a strategy. I'll eliminate the options that don't seem relevant for remote file access, like HTTPS, and focus on the more common file transfer protocols.
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