Google Cloud Professional Cloud Architect — Question 183

Your organization has a significant amount of log data stored in Cloud Logging. The data engineering team is accustomed to using SQL for analysis and wants the ability to create insightful dashboards for visualizing log trends and patterns. You want to follow the recommendations of the Google Cloud Well-Architected Framework to provide a solution for the data engineering team. What should you do?

Answer options

• A. Create a log sink, and export the data to BigQuery using Pub/Sub. Run queries and visualize the data with Cloud Monitoring dashboards.
• B. Enable log analytics and run queries in Cloud Monitoring. Visualize the data using Vertex AI workbench.
• C. Enable log analytics and run queries in the linked log dataset in BigQuery. Visualize the data with Looker Studio dashboards.
• D. Create a log sink, and export the data to a storage bucket. Create an external table in BigQuery for the data in the bucket. Run queries and visualize the data with Cloud Monitoring dashboards.

Correct answer: C

Explanation

Option C is correct because it allows the data engineering team to run SQL queries on the log data stored in BigQuery and visualize the results with Looker Studio, which is ideal for dashboard creation. Options A and D involve exporting data to BigQuery but do not use the linked log dataset directly, which is more efficient. Option B suggests using Vertex AI workbench, which is not the best fit for log data visualization compared to Looker Studio.