Each analytics team in your organization operates BigQuery jobs within their respective projects. As a data engineering lead, you want to empower each team to effectively monitor their own slot usage, ensuring efficient resource management and cost optimization. What steps should you take to enable each team to monitor slot usage within their projects?

Exam-Like

Create a Cloud Monitoring dashboard based on the BigQuery metric query/scanned_bytes_

5.1%

Create a Cloud Monitoring dashboard based on the BigQuery metric slots/allocated_for_project

56.4%

Create a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Cloud Monitoring dashboard based on the custom metric

17.9%

Create an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Cloud Monitoring dashboard based on the custom metric

20.5%

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