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Professional Cloud Developer

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Topic 1 Question 91
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?

2 つ選択
- Create aggregated exports on application logs to BigQuery to facilitate log analytics.
- Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
- Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
- Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
- 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.
ユーザの投票
コメント(17)
- I go for A, C
  
  👍 9
  p42022/01/22
- C,D are the correct in this case.
  
  👍 7
  ParagSanyashiv2022/01/08
- https://cloud.google.com/logging/docs/structured-logging If you're using Google Kubernetes Engine or the App Engine flexible environment, you can write structured logs as JSON objects serialized on a single line to stdout or stderr. The Logging agent then sends the structured logs to Cloud Logging as the jsonPayload of the LogEntry structure.
  
  This point to C
  
  👍 4
  NapFalg2022/09/03
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