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Databricks · Databricks DEA · Associate

Engineer on Databricks. Pass Data Engineer Associate.

Revision notes built around the work Databricks data engineers actually do — Auto Loader and Lakeflow Connect ingestion, PySpark and SQL transformations, Lakeflow Jobs, Asset Bundles CI/CD and Unity Catalog governance — plus practice that explains every option and timed mocks shaped like the real exam.

13 revision lessons514 practice questions3 full-length mocks
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Exam blueprint
7domains
Databricks Intelligence Platform6%
Data Ingestion and Loading21%
Data Transformation and Modeling22%
Working with Lakeflow Jobs16%
Implementing CI/CD10%
Troubleshooting, Monitoring, and Optimization10%
Governance and Security15%
45 questions90 min timePass / fail to pass
Exam facts

The Databricks DEA exam at a glance

Official exam details from the Databricks exam guide — the numbers our mock exams mirror.

Questions45
Time limit90 min
Passing scorePass / fail
Exam fee$200
Valid for2 years
FormatMultiple choice

Taking more than one exam? Add up the exam fees across every certification you plan to earn.

Who it’s for

Who should take the Databricks DEA?

Databricks DEA is an associate-level, role-based certification. There are no formal prerequisites, but Databricks recommends hands-on experience — the questions are scenarios, not definitions.

You already build on Databricks

You run real workloads and want the credential that matches the job you're already doing — and the salary conversations that come with it.

You're moving into a cloud role

The exam blueprint doubles as a job description. Studying it task statement by task statement is the fastest way to find and close your skill gaps.

You hold a foundational cert

The natural next step on the same platform: deeper services, scenario-based questions, and a credential employers screen for by name.

The blueprint

What’s on the Databricks DEA exam

Every lesson, question, and mock is weighted to match these official domains.

Domain 16%

Databricks Intelligence Platform

The Data Intelligence Platform itself: its architecture, Delta Lake and Unity Catalog, and choosing the right compute for each workload by characteristics, limits and cost.

Domain 221%

Data Ingestion and Loading

Getting data in: batch, streaming and incremental patterns, COPY INTO, Auto Loader, Lakeflow Connect connectors, JDBC/ODBC and REST clients, choosing between ingestion methods, and semi-structured data.

Domain 322%

Data Transformation and Modeling

Bronze to silver to gold with PySpark and SQL: cleaning, joins and unions, column and row manipulation, deduplication and aggregation, basic Spark tuning, gold-layer objects in Unity Catalog, and data quality checks.

Domain 416%

Working with Lakeflow Jobs

Orchestrating pipelines with Lakeflow Jobs: control flow (retries, branching, looping), task types and dependencies in the DAG, schedules and trigger types, and choosing time-based versus data-driven triggers.

Domain 510%

Implementing CI/CD

Shipping data code safely: Git Folders branching, commits and pull requests in the workspace, Declarative Automation Bundles (formerly Databricks Asset Bundles) with per-environment variables and overrides, and the Databricks CLI in CI/CD.

Domain 610%

Troubleshooting, Monitoring, and Optimization

Keeping pipelines healthy and fast: run-history trends and job health in the Lakeflow Jobs UI, skew, shuffle and spill in the Spark UI, Liquid Clustering and predictive optimization, and diagnosing startup, library and memory failures.

Domain 715%

Governance and Security

Unity Catalog governance: managed versus external tables, GRANT/REVOKE/DENY across the securable hierarchy, column masking and row-level security, and ABAC policies for central filtering and masking.

The study plan

How you’ll prepare for the Databricks DEA

Three surfaces, one loop: read, drill, rehearse — repeat until your readiness score says book it.

Step 1

Read the lessons

Work domain by domain through 13 plain-English revision lessons covering every task statement in the Databricks DEA exam guide — key terms, "what's tested" callouts, and takeaways.

Step 2

Drill every topic

Work through 514 exam-realistic questions in learn mode to study, or quiz mode to test yourself. Every option explains why it’s right or why it’s a trap, with one click back to the lesson.

Step 3

Rehearse the exam

Sit 3 full-length timed mocks weighted to the official domains and scored on the real Databricks DEA scale — so your mock result predicts your real one.

Exam in a few days? The Databricks DEA cheat sheet puts every lesson’s key takeaways and what’s tested on one page.

Free lessons

Start reading Databricks DEA lessons — no account needed

Open any of these in a new tab and judge the quality yourself. If the lessons don’t earn your time, don’t sign up.

Pricing

One-time. Yours for good.

The exam costs $200 — pass it once. Pro is a single payment, not a subscription.

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Databricks DEA questions, answered

The Databricks DEA exam has 45 questions with a time limit of 90 min. The format is multiple choice.

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