You must capture logs from all production projects inside a folder (including future projects) and send them to operations. How to ensure automatic collection?
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Correct answer: Create an aggregated log export on the Production folder and set the sink to a Cloud Storage bucket in an operations project..
Why this is the answer
Creating an aggregated log export at the folder level ensures that logs from all current and future projects within that folder are automatically captured. This is because folder-level exports apply to all resources underneath them. Setting the sink to a Cloud Storage bucket in an operations project centralizes the logs for the operations team. Creating an aggregated log export on the Organization would capture logs from all projects, not just those in the production folder, which is too broad. Creating individual log exports in each production project is not scalable and would not automatically include future projects. Exporting to BigQuery datasets and granting IAM access is a valid logging strategy for analysis, but the question specifically asks to "send them to operations," implying a centralized storage for collection, which Cloud Storage provides efficiently for raw logs.
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