Practice Exams 2026: Databricks Certified Data Analyst

Prepare for the Databricks Certified Data Analyst Associate certification with realistic practice exams designed to reflect the format and topics of the latest exam version.

This course includes multiple full-length practice tests that help you assess your readiness for the certification and identify areas where you need improvement. Each question includes detailed explanations so you can understand why the correct answer is right and why the others are incorrect.

The practice exams include topics introduced in the September 2025 exam update.

What you'll practice

These exams cover the key areas tested on the certification exam, including:

Understanding the Databricks Data Intelligence Platform

• Core platform components such as Delta Lake, Unity Catalog, Databricks SQL, Mosaic AI, and Lakeflow Jobs

• Catalog Explorer, certified tables, lineage, and governance concepts

• Databricks Marketplace

Managing and Importing Data

• Discovering and managing datasets with Unity Catalog

• Data cleaning with SQL

• Data ingestion methods including S3, Delta Sharing, APIs, Auto Loader, and the Workspace UI

Querying and Data Analysis with Databricks SQL

• SQL Warehouses and query execution

• Writing queries with joins, aggregations, sorting, and filtering

• Materialized views, streaming tables, and cross-system analytics

• Delta Lake features such as time travel

Query Performance and Optimization

• Query insights and query profiling

• Query history, caching, and troubleshooting

• Photon and Liquid Clustering

• Using Delta Lake history for auditing and validation

Dashboards and Data Visualization

• Building AI/BI dashboards in Databricks

• Creating visualizations in notebooks and SQL editor

• Dashboard parameters, alerts, sharing, and scheduled refreshes

AI/BI Genie Spaces

• Creating and managing Genie spaces

• Defining sample questions and trusted assets

• Monitoring usage and improving response accuracy

Data Modeling

• Star schema, snowflake schema, and data vault concepts

• Aligning models with the Medallion architecture

Data Security

• Unity Catalog access controls and permissions

• Understanding the 3-level namespace (Catalog / Schema / Table)

• Best practices for securing datasets and protecting sensitive data

  
  

These practice exams will help you simulate the real testing experience so you can approach the certification with confidence.

Who this course is for

• Data analysts preparing for the Databricks Certified Data Analyst Associate exam

• Professionals working with Databricks SQL, dashboards, and analytics

• Anyone who wants to test their readiness before taking the official certification