Databricks-DA-Assoc Executing Queries with Databricks SQL Practice Question
Which of the following describes the purpose of 'Query History' in Databricks SQL?
⚠ Common exam trap
Candidates often mistake Query History for a table creation log or a cluster configuration tool, rather than recognizing it as a monitoring interface for execution metrics and performance troubleshooting.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
To monitor query performance and troubleshoot errors.
Query History provides a comprehensive log of all queries executed against the SQL Warehouse. It includes critical information such as execution time, user identity, and status. For analysts, this tool is indispensable for identifying slow-running queries, debugging execution errors, and auditing data access. By reviewing the query profile, analysts can gain deep insights into how their code is performing, which is vital for continuous performance tuning and optimizing SQL code in production.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To permanently store query results in cold storage.
Why it's wrong here
Query History tracks the metadata and execution status of queries, but it is not a data storage solution for query results. Storing results for long-term use should be done through Delta tables or external files, not through the ephemeral query history logs provided in the interface.
- ✓
To monitor query performance and troubleshoot errors.
Why this is correct
Query History offers detailed insights into query execution, including latency, status, and resource usage. This allows analysts to effectively identify bottlenecks, troubleshoot failed queries, and review the execution plan, which is essential for ongoing optimization and maintaining high performance for business-critical analytical reporting and dashboards.
- ✗
To manage user access permissions for tables.
Why it's wrong here
Permissions are managed through the Data Explorer or SQL GRANT/REVOKE commands, not within Query History. Query History is a log for monitoring execution behavior and does not provide an interface for setting or modifying security policies or access levels for data entities within the workspace.
- ✗
To automatically optimize slow SQL code.
Why it's wrong here
Query History allows users to see performance data, but it does not automatically rewrite or optimize SQL code. The analyst must interpret the information provided in the query profile to make manual changes to the code or table structure to achieve better performance for their specific workload.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DA-Assoc exam.