Free Databricks Exam Questions
Databricks Certified Data Analyst Associate
Practice with our comprehensive collection of free Databricks Certified Data Analyst Associate exam questions. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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"The questions were completely on par with what I got at the Databricks Data Analyst Associate exam this morning, and I passed with a 90%+ score! This question bank was by far the most accurate and relevant resource I could find on the new exam guide."
— Exam candidate
November 10, 2025
Exam Information
Exam Details
Complete information about the Databricks Certified Data Analyst Associate certification exam
45 scored multiple-choice questions
90 minutes (1.5 hours)
USD 200 (plus applicable taxes)
2 years
Online proctored or test center proctored
Prerequisites: No required prerequisites, but course attendance and six months of hands-on experience as a Data Analyst are highly recommended.
Exam Topics & Skills Assessed
Key technologies and domains covered in the Data Analyst Associate exam
Core Databricks Technologies:
- Databricks Data Intelligence Platform - Mosaic AI, Delta Live tables, Lakeflow Jobs, Data Intelligence Engine, Delta Lake, Unity Catalog, Databricks SQL
- Unity Catalog - Catalogs, schemas, managed and external tables, access controls, views, certified tables, lineage, Catalog Explorer
- Databricks SQL - Query execution, SQL Warehouses, Databricks Assistant, cross-system analytics, federated data sources
- Materialized Views and Streaming Tables - When to use each, differences between dynamic and materialized views
- Delta Lake - Time travel, historical data versions, managed and external tables
- AI/BI Genie - Spaces, sample questions, domain-specific instructions, trusted assets, permissions
- Dashboards and Visualizations - AI/BI Dashboards, multi-tab layouts, widgets, parameters, sharing, embedding, alerts
- Query Analysis - Photon features, Query Insights, Query Profiler, query history, caching, Liquid Clustering
- Data Ingestion - S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, Marketplace, UI file upload
- Data Modeling - Star, snowflake, and data vault schemas, Medallion Architecture alignment
- Data Security - Unity Catalog roles, sharing settings, 3-level namespace, table ownership, PII protection
Exam Sections (9 Main Domains):
- Understanding of Databricks Data Intelligence Platform - Core components, Catalog Explorer, Marketplace
- Managing Data - Unity Catalog discovery, certified datasets, data cleaning, tagging, lineage
- Importing Data - S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, Marketplace, UI uploads
- Executing queries using Databricks SQL and SQL Warehouses - Databricks Assistant, SQL Warehouses, cross-system analytics, Materialized Views, aggregations, joins, sorting, filtering, table creation, time travel
- Analyzing Queries - Photon features, query performance identification, Delta Lake auditing, query history, caching, Liquid Clustering, query fixing
- Working with Dashboards and Visualizations - AI/BI Dashboards, visualizations, parameters, permissions, sharing, embedding, scheduling, alerts, visualization types
- Developing, Sharing, and Maintaining AI/BI Genie spaces - Purpose, features, components, creation, permissions, distribution, optimization
- Data Modeling with Databricks SQL - Star, snowflake, data vault schemas, Medallion Architecture alignment
- Securing Data - Unity Catalog roles, sharing settings, 3-level namespace, storage and management best practices
Foundation Skills Tested:
- Using Databricks SQL to perform data analysis, querying, and dashboarding
- Managing data with Unity Catalog including discovering, querying, cleaning, and managing certified datasets
- Importing data using various methods (UI, S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, Marketplace)
- Executing and optimizing queries for data analysis including creating views, aggregations, joins, filtering, and sorting
- Analyzing queries using auditing, history, logs, and Liquid Clustering features
- Working with dashboards and visualizations, understanding AI/BI Genie spaces
- Data modeling with Databricks SQL using industry-standard techniques
- Securing data by adhering to best practices for data storage and management
About the Databricks Certified Data Analyst Associate Certification
The Databricks Certified Data Analyst Associate certification validates your ability to use Databricks SQL to perform data analysis, including querying, dashboarding, and managing SQL assets on the Databricks Data Intelligence Platform. This associate-level certification demonstrates proficiency in managing data with Unity Catalog, importing data using various methods, executing and optimizing queries, working with dashboards and visualizations, and securing data.
The certification evaluates your proficiency with the Databricks Data Intelligence Platform, assessing your ability to discover, query, clean, and manage certified datasets, import data utilizing various methods, and execute and optimize queries for data analysis. This certification is ideal for data analysts who work with Databricks and need to demonstrate foundational skills in data analysis on the platform.