About the Databricks Certified Data Engineer Associate Exam

Databricks Certified Data Engineer Associate Exam

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1 Introduction

About the Databricks Certified Data Engineer Associate Exam Study Plan and Strategies

2 Domain 1: Databricks Intelligence Platform (10%)

1.1 The Lakehouse Architecture 1.2 Databricks Workspace and Components 1.3 Delta Lake Fundamentals 1.4 Databricks Repos, Secrets, and Development Tools 1.5 Databricks SQL and the Photon Engine 1.6 Databricks Runtime and Compute Configuration

3 Domain 2: Development and Ingestion (30%)

2.1 Auto Loader (cloudFiles) 2.2 Reading Data with Spark SQL and PySpark 2.3 Writing Data to Delta Tables 2.4 Spark SQL Query Fundamentals 2.5 Complex Data Types and Higher-Order Functions 2.6 User-Defined Functions (UDFs) 2.7 Structured Streaming Fundamentals 2.8 Databricks Notebooks and Code Execution 2.9 Data Extraction from External Sources 2.10 Table Management and Properties

4 Domain 3: Data Processing & Transformations (31%)

3.1 The Medallion Architecture (Bronze, Silver, Gold) 3.2 Delta Lake Optimization: OPTIMIZE, VACUUM, and Liquid Clustering 3.3 Advanced SQL Transformations 3.4 Incremental Data Processing Patterns 3.5 Lakeflow Declarative Pipelines (Delta Live Tables) 3.6 Implementing a Multi-Hop Pipeline 3.7 Slowly Changing Dimensions (SCD) Patterns 3.8 Data Deduplication Strategies

5 Domain 4: Productionizing Data Pipelines (18%)

4.1 Databricks Workflows and Lakeflow Jobs 4.2 Databricks Asset Bundles (Declarative Automation Bundles) 4.3 Pipeline Monitoring, Alerting, and Error Handling 4.4 Testing and Deployment Best Practices 4.5 Pipeline Performance and Cost Optimization 4.6 Designing Idempotent and Recoverable Pipelines

6 Domain 5: Data Governance & Quality (11%)

5.1 Unity Catalog: Architecture and Three-Level Namespace 5.2 Access Control and Permissions 5.3 Data Lineage and Audit Logging 5.4 Delta Sharing 5.5 Lakehouse Federation 5.6 Data Quality Best Practices 5.7 Row-Level and Column-Level Security 5.8 Compliance and PII Data Management

About the Databricks Certified Data Engineer Associate Exam

Key Takeaways Explain This Topic AI

The exam has 45 scored multiple-choice questions, a 90-minute limit, and a passing score of approximately 70% (about 32 of 45 correct).

Five domains are tested: Databricks Intelligence Platform (10%), Development and Ingestion (30%), Data Processing & Transformations (31%), Productionizing Data Pipelines (18%), and Data Governance & Quality (11%).

The exam costs $200 USD, is delivered online-proctored through Kryterion's Webassessor platform, and the credential is valid for two years.

The July 25, 2025 exam guide refresh emphasizes Lakeflow Declarative Pipelines, Unity Catalog, Delta Sharing, Lakehouse Federation, and Databricks Asset Bundles.

No prerequisite certification is required, but Databricks recommends at least six months of hands-on experience on the Data Intelligence Platform.

Last updated: June 2026

What This Certification Proves

The Databricks Certified Data Engineer Associate credential validates that you can use the Databricks Data Intelligence Platform to perform introductory data engineering tasks. In practice that means building and running ETL pipelines, managing Delta Lake tables, ingesting files incrementally with Auto Loader and COPY INTO , transforming data with Spark SQL and PySpark, orchestrating jobs, and applying governance through Unity Catalog .

The exam is role-based and entry-level . It assumes you have actually worked in a Databricks workspace — written notebook cells, created clusters or SQL warehouses, and queried Delta tables — rather than only read documentation. Databricks recommends roughly six months of hands-on experience before sitting the exam, though there is no formal prerequisite and no required training course.

Exam Format at a Glance

Detail Specification
Exam name Databricks Certified Data Engineer Associate
Scored questions 45 multiple-choice (single answer)
Unscored items A few additional pilot questions may appear, unidentified, with extra time allotted
Time limit 90 minutes
Passing score ~70% (about 32 of 45 correct)
Cost $200 USD (plus tax)
Delivery Online-proctored via Kryterion / Webassessor
Language English
Prerequisites None (≈6 months hands-on experience recommended)
Validity 2 years (recertify to stay current)
Retake policy Wait period applies between attempts; each attempt costs $200

Every question is multiple-choice with one correct option . There are no drag-and-drop, multi-select, or live-lab tasks. Many items are written as short scenarios that ask for the best approach, so eliminating clearly wrong choices and comparing the rest against Databricks best practice is an effective tactic.

The Five-Domain Blueprint (July 2025 Exam Guide)

The current exam guide divides the 45 questions across five weighted domains. Because each domain's weight maps almost directly to a question count, the blueprint tells you exactly where to invest study time.

Domain Weight Approx. questions Focus
1. Databricks Intelligence Platform 10% ~4–5 Workspace, clusters/SQL warehouses, Lakehouse, notebooks
2. Development and Ingestion 30% ~13–14 Spark SQL, Auto Loader, COPY INTO, Delta tables, schema handling
3. Data Processing & Transformations 31% ~14 Joins, aggregations, MERGE, higher-order functions, UDFs
4. Productionizing Data Pipelines 18% ~8 Lakeflow Declarative Pipelines, Workflows, Asset Bundles
5. Data Governance & Quality 11% ~5 Unity Catalog, permissions, Delta Sharing, expectations

Domains 2 and 3 together are 61% of the exam — roughly 27 of the 45 questions. If you master ingestion and transformation, you are most of the way to a pass. Domain 1 is small but foundational; Domains 4 and 5 reward knowing which feature solves a problem (e.g., Lakeflow expectations for data quality, Unity Catalog for centralized governance).

What the July 25, 2025 Update Changed

Databricks refreshed the exam guide on July 25, 2025 to match current platform terminology and capabilities:

Lakeflow Declarative Pipelines is the current name for what was previously called Delta Live Tables (DLT) . The exam uses the new term.

Unity Catalog coverage expanded, including Delta Sharing (open cross-platform data sharing) and Lakehouse Federation (querying external sources without ingestion).

Databricks Asset Bundles (DAB) appear under productionizing pipelines as the recommended way to package and deploy projects as code.

Liquid Clustering is referenced as a newer data-layout optimization alongside OPTIMIZE and Z-ORDER.

Legacy Hive metastore and low-level RDD operations are de-emphasized.

Registration and Online Proctoring

Databricks certification exams are scheduled and delivered through Kryterion's Webassessor platform. To register:

Create or sign in to a Webassessor account at the Databricks certification page.

Select Data Engineer Associate and pay the $200 fee.

Choose online proctored delivery and book a time slot.

Run the system/biometric check, present a government-issued photo ID , and show a clean workspace before the proctor releases the exam.

Online Proctoring Requirements
A stable internet connection, working webcam and microphone
A quiet, private room with a clear desk — no notes, phones, or second monitors
A supported browser and the Webassessor secure-browser/sentinel software installed
No talking, leaving the frame, or reading aloud during the session

Results are typically shown immediately at the end, and a digital badge is issued through Credentials/Accredible. The certification is valid for two years , after which you recertify against the then-current exam guide to keep the credential active.

Who Should Take It
Data engineers building and maintaining pipelines on Databricks
Analytics engineers turning raw data into business-ready tables
Platform/BI professionals validating Lakehouse and Unity Catalog skills
Career changers wanting a recognized, vendor-issued Databricks credential

It is the natural first step before the Data Engineer Professional exam, which goes deeper into performance tuning, monitoring, and advanced pipeline design.

Scoring and What a Pass Looks Like

The exam is scored on the 45 scored questions only; any unscored pilot items are ignored. With a pass mark of roughly 70% , you need about 32 correct answers . Because there is no penalty for incorrect answers , you should answer every question — an educated guess can only help. Results are reported as pass/fail, often with a section-level performance breakdown so you can see which domains pulled your score down. If you fail, you can re-register and pay the fee again after the required wait period; using that section breakdown to target your weakest domain is the fastest path to a passing retake.