Study guidePro

Databricks Data Analyst Associate

Every section of the Databricks Data Analyst Associate exam explained, with decision tables, runnable SQL, diagrams and the traps the questions set, following the October 2025 exam guide.

Aligned to the October 2025 exam guide · checked against the Databricks docs on 31 October 2026 · certlake.com/exam/data-analyst-associate/study-guide

Exam at a glance

Questions45 scored multiple-choice (some ask for two answers), plus unscored items
Time90 minutes
Pass markNot published by Databricks
LanguageSQL
Exam guideOctober 2025
SectionWeight≈ Questions
1. Databricks Data Intelligence Platform11%5
2. Managing Data8%4
3. Importing Data5%2
4. Executing Queries with Databricks SQL20%9
5. Analyzing Queries15%7
6. Dashboards and Visualizations16%7
7. AI/BI Genie Spaces12%5
8. Data Modeling with Databricks SQL5%2
9. Securing Data8%4

The weights are the ones Databricks publishes on the certification page; the exam guide PDF lists the same nine sections without percentages. This guide follows the guide's order.

1. Databricks Data Intelligence Platform11% of the exam

The components

ComponentRole
Delta LakeTable format: ACID, time travel, schema enforcement
Unity CatalogGovernance: namespace, grants, lineage, tags
Databricks SQLWarehouses, SQL editor, dashboards, alerts
Data Intelligence EngineThe guide's name for the AI behind Genie, Genie Code, AI-generated comments and intelligent search
Lakeflow pipelinesBatch and streaming pipelines (the guide says Lakeflow Declarative Pipelines (Delta Live Tables))
Lakeflow JobsOrchestration
Mosaic AIThe guide's name for model serving, agents, vector search

The exam asks which component does what: Delta Lake stores, Unity Catalog governs, Databricks SQL queries and visualises, Lakeflow moves and schedules, Mosaic AI serves models.

Catalog Explorer

Unity Catalog hierarchy: metastore, catalog, schema, then tables, views, volumes and functions, with the privilege needed at each levelMetastoreone per regionCataloge.g. mainUSE CATALOGSchemamain.salesUSE SCHEMATable / viewSELECT · MODIFYVolumeREAD VOLUMEFunctionEXECUTEcatalog.schema.object
Reading main.sales.orders needs USE CATALOG on main, USE SCHEMA on main.sales and SELECT on the table. A grant on a catalog or schema is inherited by everything inside it.

Catalog Explorer is the UI onto Unity Catalog: browse catalogs, schemas, tables, views, volumes and functions; see a table's columns, sample data, permissions and owner; and open its Lineage tab.

ManagedExternal
DataUnity Catalog's storageYour path (LOCATION)
DROP TABLEDeleted; UNDROP for 7 days by defaultMetadata only; files stay
  • Certified and deprecated are values of the system tag system.certification_status, shown as a badge so analysts know which copy of a dataset to trust.
  • Lineage is captured automatically to column level: upstream and downstream tables, columns, notebooks, jobs and dashboards.

Marketplace

Databricks Marketplace offers third-party datasets, models and notebooks. Data products arrive over OpenSharing (formerly Delta Sharing): no copy, read-only, mounted as a shared catalog you query like any other.

The rest of this guide is part of Pro

8 more domains, explained with snippets, decision tables and diagrams:

  • 2. Managing Data · 8%
  • 3. Importing Data · 5%
  • 4. Executing Queries with Databricks SQL · 20%
  • 5. Analyzing Queries · 15%
  • 6. Dashboards and Visualizations · 16%
  • 7. AI/BI Genie Spaces · 12%
  • 8. Data Modeling with Databricks SQL · 5%
  • 9. Securing Data · 8%

Know it, or just recognise it?

The free diagnostic shows which domains you'd lose marks on, in about 10 minutes and without signing up.

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Cheat sheet

The two-page cheat sheet: rules, defaults and traps for the last week before the exam.

Open the cheat sheet

Spotted something out of date? Email support@certlake.com. CertLake is not affiliated with Databricks, Inc.