Databricks Certified Data Engineer Associate Training
CertOcean's Databricks Certified Data Engineer Associate training is a live, instructor-led online course. You learn in 12 live sessions (24 hours in total) with an expert instructor and work through 11 curriculum modules.
About the Databricks Certified Data Engineer Associate training
The Databricks Certified Data Engineer Associate is the most popular Databricks certification. It shows you can ingest, transform, orchestrate and govern data on the Databricks Data Intelligence Platform. Databricks refreshed the exam in May 2026, adding Lakeflow Jobs, CI/CD and troubleshooting, so CertOcean's course follows the seven current exam sections in a hands-on order. Every session is lab-led in a Databricks workspace.
The course fits data engineers, ETL and BI developers, data analysts moving into engineering, and cloud engineers who support Databricks on AWS, Azure or Google Cloud. Basic SQL is needed; basic Python helps.
What you'll learn in this course
Navigate the Databricks Data Intelligence Platform: workspaces, compute, notebooks and SQL warehouses
Ingest batch and streaming data with Auto Loader, COPY INTO and Lakeflow Connect
Transform and model data with PySpark, Spark SQL and Delta Lake (medallion architecture)
Build and schedule pipelines with Lakeflow Declarative Pipelines and Lakeflow Jobs
Secure and govern data with Unity Catalog, and ship changes with CI/CD
Troubleshoot slow jobs and pass the exam with timed 45-question mock tests
What is CertOcean's Databricks Data Engineer Associate course?
CertOcean's Databricks course is live online training for the Databricks Certified Data Engineer Associate exam. It runs as 12 sessions of about 2 hours with hands-on labs, covers all seven sections of the May 2026 exam guide, and ends with full mock exams and a study plan for your weak areas. Sessions are recorded.
What is the Databricks Certified Data Engineer Associate exam?
It is the Databricks exam that tests foundational data engineering on the Databricks Data Intelligence Platform: ingesting data, transforming it with Spark and Delta Lake, orchestrating pipelines, and governing data with Unity Catalog. It is the usual first Databricks certification for engineers.
What are the Databricks Data Engineer Associate exam details?
Issued by: Databricks
Questions: 45 scored multiple-choice questions (a few unscored items may appear)
Time: 90 minutes
Exam fee: US$200 plus applicable taxes
Delivery: Online proctored or test center, no test aids
Sections: Databricks Intelligence Platform; Data Ingestion and Loading; Data Transformation and Modeling; Working with Lakeflow Jobs; Implementing CI/CD; Troubleshooting, Monitoring and Optimization; Governance and Security
Prerequisites: None. Databricks recommends about six months of hands-on experience
Valid for: 2 years, then you retake the current exam
Exam facts checked November 2026 against the May 2026 exam guide. Confirm on databricks.com before you book.
How long does it take to prepare for the Databricks Data Engineer Associate exam?
With SQL experience, most people need 4 to 6 weeks at 6 to 8 hours a week, including hands-on practice. If you already use Databricks daily, 2 to 3 weeks of focused exam prep is often enough. The new Lakeflow and CI/CD sections catch people who studied from older material.
What jobs does a Databricks certification help with?
It supports data engineer, analytics engineer, ETL developer, big data engineer and cloud data engineer roles. Many employers running Databricks on AWS, Azure or Google Cloud list the Data Engineer Associate in job postings, and it is the step before the Databricks Data Engineer Professional.
Curriculum
Databricks Certified Data Engineer Associate course syllabus
11 modules · 55 topics · 24 hours of live training
01The Databricks Data Intelligence Platform5 topics
Workspaces, notebooks, Repos and Databricks SQL
All-purpose vs job compute, serverless and SQL warehouses
The lakehouse and medallion (bronze, silver, gold) architecture
Where Databricks runs: AWS, Azure and Google Cloud
You will be able to: set up and explain a Databricks workspace for a data team.
02Spark SQL and PySpark Essentials5 topics
DataFrames, transformations and actions
Spark SQL queries, views and CTEs
Higher-order functions, arrays, structs and JSON data
User-defined functions and when to avoid them
You will be able to: write the PySpark and Spark SQL that exam questions show.
03Delta Lake5 topics
Delta tables, the transaction log and ACID
MERGE, UPDATE, DELETE and time travel
OPTIMIZE, Z-ordering, liquid clustering and VACUUM
Managed vs external tables
You will be able to: manage Delta tables safely and fast.
04Data Ingestion and Loading5 topics
Auto Loader and COPY INTO
Lakeflow Connect managed connectors
Batch vs incremental vs streaming ingestion
Schema inference, evolution and rescued data
You will be able to: load files and sources into the bronze layer reliably.
05Data Transformation and Modeling5 topics
Cleaning, deduplicating and joining data
Building silver and gold tables
Slowly changing dimensions with MERGE
Structured Streaming basics
You will be able to: turn raw data into analytics-ready tables.
06Lakeflow Declarative Pipelines5 topics
Streaming tables and materialized views
Expectations for data quality
Pipeline modes, events and monitoring
Change data capture with AUTO CDC
You will be able to: build a declarative pipeline with quality checks.
07Working with Lakeflow Jobs5 topics
Tasks, dependencies and parameters
Schedules, triggers and retries
Alerts and notifications
Repair runs and job clusters
You will be able to: orchestrate a multi-task pipeline end to end.
08Implementing CI/CD5 topics
Git folders and branching
Databricks Asset Bundles
Promoting code across dev, test and prod
Testing notebooks and pipelines
You will be able to: ship pipeline changes the way the new exam expects.
09Troubleshooting, Monitoring and Optimization5 topics
Reading the Spark UI and query profile
Skew, spill and small-file problems
Caching, partitioning and cluster sizing
System tables for cost and usage
You will be able to: find and fix a slow or failing job.
10Governance and Security with Unity Catalog5 topics
Metastore, catalogs, schemas and tables
Grants, privileges and row and column controls
Lineage, audit logs and Delta Sharing
Secrets and secure data access
You will be able to: govern data access across a workspace.
11Exam Strategy and Full Mock Exams5 topics
Two full 45-question mock exams under a 90-minute timer
Review by exam section
Common traps from the May 2026 exam guide
Booking your exam and exam-day checklist
You will be able to: book the exam only when your scores say you are ready.
Get the detailed syllabus
Receive the full module plan, batch timings and a call with an advisor who can answer your exam questions.
How long is the Databricks Certified Data Engineer Associate course, and when does it start?
The course runs for 24 hours of live, instructor-led online training across 12 sessions. Weekend and weekday batches are available, and the next batch starts on Saturday, November 14, 2026.
Which Databricks certification should I take first?
For data engineers, the Databricks Certified Data Engineer Associate. Data analysts often start with the Data Analyst Associate, and ML engineers with the Machine Learning Associate. Advanced engineers move on to the Data Engineer Professional.
Did the Databricks Data Engineer Associate exam change in 2026?
Yes. Databricks published a new exam guide in May 2026 with seven sections, including Working with Lakeflow Jobs, Implementing CI/CD, and Troubleshooting, Monitoring and Optimization. Study material from before May 2026 misses these. This course follows the new guide.
Do I need to know Python for the Databricks exam?
You need to read basic PySpark and write SQL confidently. You do not need advanced Python. The course teaches the PySpark you need from scratch.
What is the passing score for the Databricks Data Engineer Associate?
Databricks does not publish a fixed passing score. A practical benchmark is 80% or more on two different full-length mock exams before you book.
Will I get hands-on Databricks practice?
Yes. Every module includes labs in a Databricks workspace. We show you how to use the Databricks Free Edition so you can keep practising after class.
Is the exam fee included?
No. The US$200 exam fee is paid to Databricks when you register. Our advisors help you book it.
Is CertOcean affiliated with Databricks?
No. CertOcean is an independent training company. Databricks, Delta Lake and Unity Catalog are trademarks of Databricks, Inc.
Free course consultation
Talk to a Databricks Certified Data Engineer Associate advisor
Share your details and we will send the syllabus, the next batch dates and the best plan for your exam date.