Professional Cloud ArchitectDemo

By Google · Question Mode

QuestionQ173

Designing and planning a cloud solution architecture

Your organization stores a significant volume of log data in Cloud Logging. The data engineering team is used to SQL for analysis and needs the ability to build insightful dashboards that visualize log trends and patterns. You want to follow the Google Cloud Well-Architected Framework recommendations to deliver a solution for the data engineering team. What should you do?

  • 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.
Explanation

Log Analytics provides a SQL-based interface for analyzing Cloud Logging data. A linked BigQuery dataset enables BigQuery services to query the log data in place, and Google Cloud specifically identifies Looker Studio as a service that can query that linked dataset. This avoids an unnecessary log export and supports SQL-driven dashboarding.

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