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Exam Professional Cloud DevOps Engineer topic 1 question 36 discussion

Actual exam question from Google's Professional Cloud DevOps Engineer
Question #: 36
Topic #: 1
[All Professional Cloud DevOps Engineer Questions]

You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

  • A. Link Stackdriver Logging as a source in Google Data Studio. Filter the logs on the cache misses.
  • B. Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
  • C. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
  • D. Configure BigQuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

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Charun
Highly Voted 3 years, 4 months ago
C for sure
upvoted 18 times
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syslog
Highly Voted 3 years, 4 months ago
I think C: https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric
upvoted 11 times
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habla2019pasta
Most Recent 5 months, 2 weeks ago
Selected Answer: C
Option C
upvoted 1 times
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jomonkp
11 months ago
Selected Answer: C
Option C
upvoted 1 times
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ngz123
1 year, 1 month ago
are these questions still valid?
upvoted 1 times
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JonathanSJ
1 year, 9 months ago
Selected Answer: C
The best option for visualizing how often a cache miss happens over time would be C. Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring. Stackdriver Logging provides the ability to extract metrics from logs, these metrics are called logs-based metrics. You can create a logs-based metric that counts the number of cache miss logs and configure it to be collected at a regular interval, this way you can see how often a cache miss happens over time. Additionally, Stackdriver Monitoring provides the ability to create dashboards that display the metrics collected by logs-based metrics, you can use this dashboard to visualize the cache misses over time and easily identify trends or spikes in the data.
upvoted 1 times
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floppino
1 year, 10 months ago
Selected Answer: C
Ans: C Exam passed and taken on 19/12/2022, 50/50 from this dump without buying the full access and looking for 'devops' word here: https://www.examtopics.com/discussions/google/1/
upvoted 2 times
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GCP72
2 years, 3 months ago
Selected Answer: C
Answer is C
upvoted 1 times
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Ananda
2 years, 5 months ago
Selected Answer: C
Submitted C
upvoted 1 times
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vijaigcp
2 years, 9 months ago
Selected Answer: C
Answer C
upvoted 2 times
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TNT87
3 years, 1 month ago
C https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric
upvoted 4 times
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devopsbatch
3 years, 4 months ago
D export to biguery as sink and analyse logs
upvoted 1 times
tycho
3 years ago
and how would you visualize the data in bq?
upvoted 2 times
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