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Question 109 - Professional Cloud Developer discussion

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Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

A.
Create aggregated exports on application logs to BigQuery to facilitate log analytics.
Answers
A.
Create aggregated exports on application logs to BigQuery to facilitate log analytics.
B.
Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
Answers
B.
Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
C.
Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
Answers
C.
Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
D.
Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
Answers
D.
Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
E.
Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.
Answers
E.
Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.
Suggested answer: A, C

Explanation:

https://cloud.google.com/stackdriver/docs/solutions/gke/managing-logs#best_practices

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asked 18/09/2024
Zakaria Boujli
28 questions
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