Your company uses BigQuery to store and analyze data. Upon submitting your query in BigQuery, the query fails with a quotaExceeded error. You need to diagnose the issue causing the error. What should you do? (Choose two.)
Your company uses BigQuery to store and analyze data. Upon submitting your query in BigQuery, the query fails with a quotaExceeded error. You need to diagnose the issue causing the error. What should you do? (Choose two.)
To diagnose the quotaExceeded error in BigQuery, it is effective to use both the INFORMATION_SCHEMA views and Cloud Audit Logs. INFORMATION_SCHEMA views provide metadata about datasets, tables, and jobs, allowing you to analyze recent queries and their resource consumption. This can help identify which queries are exceeding quotas and the type of quota being exceeded. Cloud Audit Logs record all API calls and administrative actions within your GCP projects, enabling you to search for quotaExceeded errors. This can provide detailed error messages, timestamps, and context to pinpoint specific resources and actions causing the issue.
a. Query INFORMATION_SCHEMA to identify requests that exceed quotas. b. See the Cloud Audit Logs for more details on 'quotaExceeded' errors and the context in which they occur.
B & D. Here's why these two methods are crucial for diagnosing quotaExceeded errors in BigQuery: B. INFORMATION_SCHEMA Views: BigQuery's INFORMATION_SCHEMA provides metadata about datasets, tables, and jobs. Relevant views like JOBS_BY_PROJECT and JOBS_BY_USER can help you analyze recent queries, their resource consumption (bytes processed, slots used), and any errors encountered. This can reveal which queries are exceeding quotas and what type of quota (e.g., query size, daily limit) is being exceeded. D. Cloud Audit Logs: Audit logs record all API calls and administrative actions within your GCP projects. By searching for quotaExceeded errors in the audit logs, you can see the exact error messages, timestamps, and potentially the queries that triggered the error. This helps pinpoint the specific resources and actions causing the issue.