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Databricks Data Engineer Associate
Build ELT pipelines and production workflows on the Databricks Lakehouse.
Audio Overview
Deep-dive audio covering all Databricks Data Engineer Associate exam topics
Data Engineer Associate exam at a glance
| Exam code | — |
|---|---|
| Vendor | Databricks |
| Level | Associate |
| Domains | 7 |
| Published practice questions | 300 |
| Our mock exam | 45 questions in 90 minutes |
| Our practice pass target | 70% |
| Checked against the exam guide | July 9, 2026 |
| Official exam page | Databricks — Data Engineer Associate |
The mock exam length, time limit and pass target are our practice settings, not official exam scores or a guarantee of passing. Check the official Data Engineer Associate exam page for the current format, price and scoring before you book.
Data Engineer Associate exam domains
Weights show our practice allocation, built from the official exam guide; official blueprints may give ranges. Each domain links to its free sample questions (with explanations) and study guide preview once they are published.
Databricks Intelligence Platform
6%Core Databricks Data Intelligence Platform concepts: the lakehouse architecture, clusters and compute, notebooks and Repos, and the medallion architecture.
- Lakehouse architecture (data lake + warehouse on one platform)
- All-purpose vs. job compute and SQL warehouses
- Notebooks, Databricks Repos, and Git integration
- Medallion (bronze/silver/gold) architecture
- Delta Lake as the default table format
Free Databricks Intelligence Platform practice questions →Databricks Intelligence Platform study guide →
Data Ingestion and Loading
21%Ingesting and loading data into the lakehouse: Auto Loader, COPY INTO, reading external files, and creating Delta tables.
- Auto Loader (cloudFiles) for incremental file ingestion
- COPY INTO for idempotent batch loads
- Reading CSV/JSON/Parquet into DataFrames and tables
- CREATE TABLE, managed vs. external tables
- Schema inference and schema evolution on ingest
Free Data Ingestion and Loading practice questions →Data Ingestion and Loading study guide →
Data Transformation and Modeling
22%Transforming and modeling data with Spark SQL and PySpark: cleaning, joins, aggregations, MERGE, and building the silver/gold layers.
- Spark SQL and PySpark DataFrame transformations
- MERGE INTO for upserts (SCD handling)
- Joins, aggregations, and window functions
- Higher-order functions and handling nested/complex data
- Views, CTEs, and modeling silver/gold tables
Free Data Transformation and Modeling practice questions →Data Transformation and Modeling study guide →
Working with Lakeflow Jobs
16%Orchestrating production workloads with Lakeflow Jobs (formerly Databricks Workflows) and Lakeflow Declarative Pipelines (formerly Delta Live Tables).
- Creating multi-task Lakeflow Jobs with dependencies
- Scheduling and triggers (time-based and file arrival)
- Lakeflow Declarative Pipelines (streaming/materialized tables)
- Expectations for data quality in declarative pipelines
- Passing parameters and using task values
Free Working with Lakeflow Jobs practice questions →Working with Lakeflow Jobs study guide →
Implementing CI/CD
10%Applying CI/CD to Databricks projects: Databricks Asset Bundles, Git-based source control with Repos, and promoting code across environments.
- Databricks Asset Bundles (DABs) for deployable projects
- Databricks Repos and Git integration for version control
- Promoting across dev/staging/prod environments
- Parameterizing jobs and pipelines per environment
- Automating deployment with the Databricks CLI
Free Implementing CI/CD practice questions →Implementing CI/CD study guide →
Troubleshooting, Monitoring, and Optimization
10%Monitoring and optimizing pipelines: reading run logs, handling failures and retries, and Delta table maintenance for performance.
- Monitoring job/pipeline runs and reading logs
- Failures, retries, and repairing runs
- OPTIMIZE and file compaction; Z-ORDER / liquid clustering
- VACUUM and Delta table maintenance
- Partitioning and common performance tuning
Free Troubleshooting, Monitoring, and Optimization practice questions →Troubleshooting, Monitoring, and Optimization study guide →
Governance and Security
15%Governing and securing data with Unity Catalog: the object model, privileges, and controlling access to data.
- Unity Catalog object model (metastore → catalog → schema → table)
- GRANT/REVOKE privileges on securable objects
- Managed vs. external tables and storage locations
- Data lineage, tags, and discovery
- Fine-grained access: row filters and column masks
Free Governance and Security practice questions →Governance and Security study guide →
Data Engineer Associate FAQ
How is the Data Engineer Associate practice assessment configured?
Our practice format targets 45 questions in 90 minutes. Availability depends on the published question bank and is shown on this course page. Official exam question counts and formats may differ.
What does the 70% practice target mean?
Check the provider's current exam guide for official scoring. A practice percentage is not an official scaled score. DataCertPrep uses 70% as an internal practice target, not a prediction or guarantee of passing.
How should I assess my progress in Data Engineer Associate?
Use practice accuracy to find weak topics. Repeating familiar questions can inflate your score. Check coverage of the current objectives, practise hands-on tasks, and assess yourself on unseen questions.
What is the best way to study Data Engineer Associate?
Read the available guides, work through practice explanations, use flashcards and complete practical exercises. Take a timed assessment when available. Check the provider's current exam guide before booking your exam.
Should I use Data Engineer Associate exam dumps?
No. "Dumps" are questions copied or recalled from the live exam. Certification exams are covered by a candidate agreement that prohibits sharing or using them, and breaking it can lead to a revoked certification or a ban from future exams. Dumps are also often wrong, and they go out of date when the exam blueprint changes. Memorising answers does not build the skills the exam tests. Study the official Databricks exam guide and practise with original questions that explain each answer, such as the free sample questions linked on this page.
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