Explanation:
The organization requires long-term retention of metrics for 5 years for future analysis and possible legal proceedings. Google Cloud Storage is optimized for long-term storage solutions, particularly using classes like Coldline or Archive storage, which are cost-effective for infrequent access. Exporting metrics to Google Cloud Storage ensures compliance with the retention policy while minimizing costs. In contrast, BigQuery is primarily a data analysis service and would be more expensive for long-term storage. Additionally, data stored in Google Cloud Storage can easily be imported into BigQuery when analysis is needed. Therefore, the correct answer is D.
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Your organization operates in a regulated industry and requires that metrics from all applications be retained for 5 years for future analysis and possible legal proceedings. Ensuring long-term retention and cost-efficiency are critical. Which approach should you use?
A
Grant the security team access to the logs in each Project
B
Configure Stackdriver Monitoring for all Projects, and export to BigQuery
C
Configure Stackdriver Monitoring for all Projects with the default retention policies
D
Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage
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