Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Google Exam Professional Cloud Developer Topic 16 Question 101 Discussion

Actual exam question for Google's Professional Cloud Developer exam
Question #: 101
Topic #: 16
[All Professional Cloud Developer Questions]

You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify which HTTP requests have a significantly high latency span in user requests. What should you do9

Show Suggested Answer Hide Answer
Suggested Answer: D

by Jaime at Jan 26, 2025, 04:24 PM

Limited Time Offer

25%

Off

Get Premium Professional Cloud Developer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Arlene
5 days ago
I think configuring GKE workload metrics in Cloud Monitoring could also provide valuable insights into performance bottlenecks.
upvoted 0 times
...
Maryrose
14 days ago
That's a good point, Arlene. We should consider both options to effectively investigate the high latency issue.
upvoted 0 times
...
Arlene
16 days ago
But wouldn't installing the Open Telemetry tracing package also be a good option to analyze user requests?
upvoted 0 times
...
Arlene
17 days ago
I agree with Maryrose. Sending container logs to Cloud Logging can help us identify performance bottlenecks.
upvoted 0 times
...
Fannie
27 days ago
Ah, the joys of microservices architecture. Every option here seems to have its own challenges. I think I'll go with C and let the magical OpenTelemetry fairies do their thing. Beats chasing down packets with Wireshark!
upvoted 0 times
Rodney
1 days ago
Yeah, I don't want to deal with analyzing network traffic. Option C it is!
upvoted 0 times
...
Daisy
9 days ago
I agree, option C seems like the most efficient choice. Let's let OpenTelemetry work its magic.
upvoted 0 times
...
...
Paris
1 months ago
Haha, Option B with Wireshark? That's so old-school. Who has time to pore over network dump files these days? I'm going with the cloud-native solutions, C or D all the way!
upvoted 0 times
Adrianna
11 days ago
Yeah, Option D with Cloud Monitoring seems more efficient for identifying performance bottlenecks in the GKE cluster.
upvoted 0 times
...
Tawna
19 days ago
I agree, cloud-native solutions are the way to go. Option C sounds like a good choice for tracing and analyzing user requests.
upvoted 0 times
...
...
Kimberlie
1 months ago
I don't know, Option A looks like a lot of manual work. Relying on logs alone to analyze performance might not be enough. I'd prefer a more automated approach like C or D.
upvoted 0 times
...
Maryrose
1 months ago
I think we should update our microservices to log HTTP request methods and URL paths to evaluate latency.
upvoted 0 times
...
Lamonica
1 months ago
Option C seems like the best choice here. Instrumenting the microservices with OpenTelemetry will give us a comprehensive view of the application performance and help identify the root cause of the high latency issues.
upvoted 0 times
Stephen
12 days ago
Let's go ahead and implement Option C to analyze the user requests and improve the overall latency of our online gaming platform.
upvoted 0 times
...
Roselle
15 days ago
I agree, using OpenTelemetry for tracing will definitely provide valuable insights into the performance bottlenecks of our application.
upvoted 0 times
...
Elli
19 days ago
Option C seems like the best choice here. Instrumenting the microservices with OpenTelemetry will give us a comprehensive view of the application performance and help identify the root cause of the high latency issues.
upvoted 0 times
...
...

Save Cancel