Topic 1 Question 97
You are creating Cloud Logging sinks to export log entries from Cloud Logging to BigQuery for future analysis. Your organization has a Google Cloud folder named Dev that contains development projects and a folder named Prod that contains production projects. Log entries for development projects must be exported to dev_dataset, and log entries for production projects must be exported to prod_dataset. You need to minimize the number of log sinks created, and you want to ensure that the log sinks apply to future projects. What should you do?
Create a single aggregated log sink at the organization level.
Create a log sink in each project.
Create two aggregated log sinks at the organization level, and filter by project ID.
Create an aggregated log sink in the Dev and Prod folders.
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I vote for D
👍 5PrayasMohanty2023/10/05D for sure.
👍 3PGontijo2023/10/23C. Create two aggregated log sinks at the organization level, and filter by project ID.
By creating two aggregated log sinks at the organization level and applying filters based on project ID, you can achieve the desired log entry routing for both development and production projects. This approach allows for scalability and ensures that future projects in the respective folders will inherit the log sink configurations.
👍 2ManishKS2023/10/01
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