Databricks-DA-Assoc Understanding the Databricks Platform Practice Question
A data analyst needs to perform ad-hoc SQL queries on a large dataset while ensuring the compute resources automatically terminate when idle to minimize costs. Which compute resource is most appropriate for this task?
⚠ Common exam trap
Candidates frequently confuse All-Purpose clusters with SQL Warehouses, failing to recognize that SQL Warehouses are specifically optimized for ad-hoc SQL queries and auto-stop cost management.
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
✓
SQL Warehouse
SQL Warehouses are designed specifically for SQL-based workloads, supporting BI tools and ad-hoc analysis through the SQL editor. They feature auto-stop functionality, which shuts down the cluster after a specified period of inactivity, directly addressing the cost-optimization requirement. Understanding the distinction between SQL Warehouses and All-Purpose clusters is vital for analysts, as Warehouses provide optimized performance for SQL queries and efficient resource management for collaborative reporting environments.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Job Compute
Why it's wrong here
Job Compute is optimized for automated data pipelines and scheduled tasks rather than ad-hoc SQL exploration. While cost-effective, it lacks the specific query-caching and performance optimizations found in SQL Warehouses, and it does not provide the interactive user interface required for analysts to perform live exploratory data analysis.
- ✓
SQL Warehouse
Why this is correct
SQL Warehouses offer managed, auto-scaling compute resources tailored for SQL analytics. They provide serverless or classic scaling options with built-in auto-stop features that terminate idle resources, ensuring cost-efficiency. This aligns perfectly with the analyst's requirement to perform ad-hoc SQL queries while maintaining strict control over compute costs during periods of inactivity.
- ✗
All-Purpose Compute
Why it's wrong here
All-Purpose clusters support interactive notebooks and multiple languages, but they are generally more expensive than SQL Warehouses for pure SQL workloads. While they can be configured to auto-terminate, they lack the query-specific performance features and the unified SQL interface that makes SQL Warehouses the standard choice for SQL-focused data analysts.
- ✗
Delta Live Tables Pipeline
Why it's wrong here
Delta Live Tables is an infrastructure service for managing complex data transformation pipelines rather than an interactive query environment. It is designed to handle ETL processes and data quality monitoring, making it unsuitable for an analyst needing to execute individual ad-hoc SQL queries to explore datasets in real-time.
About these practice questions
Courseiva writes every Databricks-DA-Assoc question from scratch — 291 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.