Databricks-DA-Assoc Analyzing Queries Practice Question
Which feature in Databricks SQL allows an analyst to view the history and performance metrics of previously executed queries?
⚠ Common exam trap
Candidates confuse the Query History interface with the Delta Lake table history or workspace audit logs when searching for past execution metrics.
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
✓
The Query History.
The Query History interface is the primary tool for reviewing past executions. It allows analysts to search, filter, and inspect the performance of queries run across the workspace. This is important for identifying long-running queries, diagnosing failures, and comparing performance over time, which supports the iterative process of optimizing data models and SQL code to ensure consistent, reliable, and performant data delivery for the organization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The Data Explorer.
Why it's wrong here
The Data Explorer is used for managing databases, tables, schemas, and columns. It provides metadata, schema definitions, and sample data views but does not track the history of SQL query executions or their performance metrics, making it the wrong tool for auditing or debugging historical query performance.
- ✓
The Query History.
Why this is correct
Query History provides a centralized view of all queries executed in the workspace. It includes status, duration, user, and access to the Query Profile, which makes it the essential tool for tracking query performance, investigating failures, and analyzing the historical impact of changes to SQL queries and data models.
- ✗
The Cluster Metrics tab.
Why it's wrong here
The Cluster Metrics tab displays hardware-level resource utilization such as CPU, memory, and network throughput for a specific compute resource. While helpful for infrastructure health, it does not provide query-level details or history, making it impossible to map specific SQL statements to the resource consumption observed in these charts.
- ✗
The Workspace Audit Logs.
Why it's wrong here
Audit Logs are designed for administrative tracking of user actions, such as login events and access control changes, for compliance purposes. They are not intended for performance analysis or query-level debugging, as they contain high-level event data rather than the detailed execution plans and metrics needed by data analysts.
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JA
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.