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Answer: Create an aggregated log sink in the Dev and Prod folders.
To minimize the number of log sinks while ensuring logs from development projects go to `dev_dataset` and production projects to `prod_dataset`, and to automatically include future projects: - **Option A (single org-level sink)**: Exports all logs to one dataset, failing to separate dev/prod data. - **Option B (sink per project)**: Requires creating and managing sinks individually for every project, increasing overhead and not scaling well for future projects. - **Option C (two org-level sinks with project ID filters)**: Uses project IDs in filters, but future projects won’t be included automatically (filters would need manual updates). - **Option D (folder-level sinks)**: Creating one aggregated sink in the Dev folder and one in the Prod folder ensures: - Logs from all projects in Dev (current and future) export to `dev_dataset`. - Logs from all projects in Prod export to `prod_dataset`. - Only two sinks are needed, minimizing management. - Folder-level sinks automatically inherit to new projects in those folders, fulfilling the requirement for future projects. Thus, Option D is optimal.
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You need to create Cloud Logging sinks to export log entries from development projects in the Dev folder to dev_dataset and from production projects in the Prod folder to prod_dataset. The solution must minimize the number of sinks while ensuring they apply to future projects. What is the recommended approach?
A
Create a single aggregated log sink at the organization level.
B
Create a log sink in each project.
C
Create two aggregated log sinks at the organization level, and filter by project ID.
D
Create an aggregated log sink in the Dev and Prod folders.