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Databricks Certified Data Engineer Associate training and exam prep - the foundational data engineering certification on the Databricks Data Intelligence Platform, with hands-on labs.
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The Databricks Certified Data Engineer Associate is the foundational (associate-level) data engineering certification for the Databricks Data Intelligence Platform. It validates that you can use Databricks to ingest, process, transform and govern data and build reliable production data pipelines. The certification is earned by passing a single exam: 45 multiple-choice questions in 90 minutes, taken online with remote proctoring through Databricks' certification platform, for about US$200. The exam covers five areas: the Databricks Intelligence Platform; development and ingestion; data processing and transformations (Spark SQL and Python); productionizing data pipelines; and data governance and quality (including Unity Catalog). The heaviest focus is on ingestion, processing and transformations.
The Databricks Certified Data Engineer Associate is a strong first credential for a data engineering career. Databricks is one of the most widely adopted data platforms, and this certification proves you can build real data pipelines on it - ingesting, transforming and governing data with Spark, Delta Lake and Unity Catalog. It is the recommended starting point in the Databricks certification track, and it opens the door to the Data Engineer Professional certification and to data-focused roles.
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This certification has no formal prerequisites and is the recommended starting point on Databricks. It is ideal for: - Aspiring and early-career data engineers - ETL developers and analytics engineers moving to Databricks - Software and data professionals adopting the lakehouse / data intelligence platform - Anyone who wants to validate foundational Databricks data engineering skills Databricks recommends about 6 months of hands-on experience, though nothing is formally required.
How to earn it:
1. Prepare with a Data Engineer Associate exam-prep course that includes hands-on Databricks labs - that is what we provide.
2. Register for the exam through Databricks' official certification platform.
3. Take the exam online with remote proctoring (45 questio...
The Databricks Certified Data Analyst Associate certification validates your ability to work with data, perform analysis, and use Databricks tools to support data-driven decision-making. The exam assesses your knowledge of data exploration, SQL, data visualization, analytics workflows, and working with datasets within the Databricks environment. Understanding the exam structure and certification requirements can help you plan your preparation effectively and build confidence before the assessment. This section explains the exam pattern, question format, duration, certification requirements, and other important details you should know before taking the Databricks Certified Data Analyst Associate exam.
Exam details verified on 16 August 2026. The Databricks Certified Data Engineer Associate is earned by passing a single online-proctored exam of 45 multiple-choice questions in 90 minutes, for about US$200. Scoring is criterion-based; a passing score around 70% is commonly cited, but Databricks does not always publish a fixed cut score - confirm on Databricks' exam guide. Some exams include unscored experimental questions, with extra time built in. The certification is valid for 2 years and is renewed by re-taking the current version of the exam. Confirm current details at databricks.com.
The Databricks Data Engineer Associate is ideal for: - Aspiring and early-career data engineers - ETL developers and analytics engineers moving to Databricks - Software and data professionals adopting the lakehouse / data intelligence platform There are no formal prerequisites, and it is the recommended starting point on Databricks. About 6 months of hands-on experience helps. If you focus more on analysis and dashboards than on pipelines, the Databricks Data Analyst Associate may suit you better. When you are ready for advanced work, the Data Engineer Professional is the next step.
