Skip to content

README.md

Latest commit

 

History

History
124 lines (102 loc) · 6.51 KB

README.md

File metadata and controls

124 lines (102 loc) · 6.51 KB
Raw
title Data Analyst Associate
tags
databricks
certification
data-analyst
type certification
aliases
DA Associate

Databricks Data Analyst Associate

Important

What changed in the October 2025 exam guide

  • Restructured from 5 broad sections into 9 explicitly weighted domains
  • AI/BI Genie Spaces is now a first-class domain (12 %) — natural-language analytics on top of Unity Catalog
  • Securing Data broken out as its own 8 % domain
  • Importing Data and Data Modeling with Databricks SQL are now distinct 5 % domains
  • Pass / fail — the October 2025 exam guide does not publish a numeric passing score

The official source of truth: Databricks Certified Data Analyst Associate. The folder structure in this guide now matches the official 9-domain blueprint 1 : 1.

Exam Overview

Detail Information
Certification Databricks Certified Data Analyst Associate
Exam guide October 2025
Scored questions 45 multiple-choice
Duration 90 minutes
Result Pass / fail (no numeric threshold in the October 2025 exam guide)
Languages English
Code in stems SQL (ANSI-compliant)
Experience 6+ months hands-on with Databricks SQL (recommended)
Recertification Every 2 years — see Renewal Guide
Cost $200 USD
Delivery Online proctored or test center

Exam Domain Weights (official — October 2025)

pie title Exam Topic Distribution (9 domains)
    "Executing Queries Using Databricks SQL and Warehouses" : 20
    "Creating Dashboards and Visualizations" : 16
    "Analyzing Queries" : 15
    "Developing, Sharing, and Maintaining AI/BI Genie Spaces" : 12
    "Understanding Databricks Data Intelligence Platform" : 11
    "Managing Data" : 8
    "Securing Data" : 8
    "Importing Data" : 5
    "Data Modeling with Databricks SQL" : 5
Loading
Domain Weight
Executing Queries Using Databricks SQL and Warehouses 20 %
Creating Dashboards and Visualizations 16 %
Analyzing Queries 15 %
Developing, Sharing, and Maintaining AI/BI Genie Spaces 12 %
Understanding Databricks Data Intelligence Platform 11 %
Managing Data 8 %
Securing Data 8 %
Importing Data 5 %
Data Modeling with Databricks SQL 5 %

Study Topics

The folder structure below matches the October 2025 official 9-domain blueprint. Read in order; each folder's README.md has the section contents and key concepts.

Section Weight Focus
01 — Executing Queries Using Databricks SQL and Warehouses 20 % SQL Warehouses, query editor, run-as identity
02 — Creating Dashboards and Visualizations 16 % AI/BI Dashboards, charts, alerts, sharing
03 — Analyzing Queries 15 % Joins, aggregations, window functions, query parameters
04 — Developing, Sharing, and Maintaining AI/BI Genie Spaces 12 % Genie Spaces creation, curation, tuning
05 — Understanding Databricks Data Intelligence Platform 11 % Unity Catalog, connections, lakehouse arch
06 — Managing Data 8 % Tables, schemas, managed vs external
07 — Securing Data 8 % GRANT/REVOKE, row filters, column masks
08 — Importing Data 5 % UI upload, COPY INTO, Lakehouse Federation
09 — Data Modeling with Databricks SQL 5 % Medallion, star/snowflake, views vs MVs

Practice & Resources

Resource Description
Practice Questions Topic-specific practice questions
Mock Exam 1 Full-length practice exam
Mock Exam 2 Alternative practice exam
Exam Tips Exam strategies and tips
Official Links Documentation and resources

Interview Preparation

After completing this certification, explore:

Prerequisites

Review these shared fundamentals:

Study Progress Tracker

  • Master Databricks SQL interface and warehouses
  • Build dashboards and visualizations
  • Practice complex SQL queries and analysis
  • Build a Genie Space on a UC schema (and tune it)
  • Understand UC + lakehouse vocabulary
  • Manage tables and schemas safely
  • Apply row filters and column masks
  • Practice COPY INTO and federation
  • Compare standard vs materialised views

Official Resources