Databricks-DA-Assoc Executing Queries with Databricks SQL Practice Question
An analyst wants to view the query profile for a specific query that was run recently. Where should they look in the Databricks SQL UI?
⚠ Common exam trap
Candidates often look inside individual notebook outputs or cluster logs instead of the dedicated Query History tab within the Databricks SQL UI to inspect detailed query execution plans.
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 tab
The Query History interface is the primary tool for performance troubleshooting. It provides a visual representation of the query plan, including task breakdown, data read/write volumes, and execution time per operator. Understanding this UI is vital for a Data Analyst to identify bottlenecks such as data skew or excessive shuffling, enabling them to optimize slow queries effectively and improve the efficiency of their SQL workloads.
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 Catalog Explorer
Why it's wrong here
Catalog Explorer is designed for browsing tables, schemas, and volumes within Unity Catalog. It provides metadata information, lineage, and sample data but does not contain execution-level details, performance metrics, or query plans for historical SQL statements. It is not the appropriate interface for analyzing query performance or reviewing execution history.
- ✗
The SQL Editor
Why it's wrong here
The SQL Editor is where queries are written and executed. While it shows the current output and runtime for a session, it does not provide the detailed Query Profile visualization necessary to analyze bottlenecks. For full performance analysis, the dedicated Query History view must be accessed for the specific query.
- ✓
The Query History tab
Why this is correct
The Query History tab in the Databricks SQL UI logs all queries executed on the warehouse. By selecting a specific query ID, users can access the Query Profile, which displays the execution graph, metrics, and bottlenecks, allowing for granular analysis of how the engine processed the data during runtime.
- ✗
The SQL Warehouse settings page
Why it's wrong here
The SQL Warehouse settings page is used to configure warehouse-level parameters like scaling policies, auto-stop intervals, and instance types. It is an administrative page for managing infrastructure, not an analytical tool for inspecting individual query performance or viewing execution plans for specific SQL statements that have already been executed.
About these practice questions
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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.