Google Cloud Certified Associate Cloud Engineer Practice 2026 - Free Cloud Engineer Practice Questions and Study Guide

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What could lead to a BigQuery job ending with a "Resources Exceeded" error message?

Unauthorized access to external data sources in the query.

Querying tables with excessive row counts beyond BigQuery limits.

BigQuery jobs can fail and return a "Resources Exceeded" error for various reasons, such as using too much CPU, memory, or table scan data. In this particular case, option B is the only correct choice. Option A is incorrect because unauthorized access to external data sources would likely result in a different error message related to permissions. Option C is incorrect because JOIN operations may not necessarily consume excessive computing resources, it would depend on the specific query and tables being joined. Option D is incorrect because running queries in Legacy SQL mode may not necessarily lead to resource limitations, unless it is combined with other factors such as querying large tables. Thus, option B is the most likely cause of a "Resources Exceeded" error message in a BigQuery job.

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Executing complex JOIN operations consuming excessive computing resources.

Running queries in Legacy SQL mode incompatible with schema definitions.

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