Databricks
Data & AI · Associate
Databricks Certified Data Engineer – Associate tests the day-to-day lakehouse work: ingestion and ETL, data modelling with Delta Lake, data quality and governance, and the Spark/warehouse tooling the platform provides. It is a practical credential for data engineers already working on the lakehouse.
Certifications
Data ingestion and ETL
Data modelling and analytics
Data quality and governance
Lakehouse tooling and operations
A proctored exam of multiple-choice items covering data engineering topics such as Delta Lake, Spark, data flows, data quality and governance.
Databricks publishes no formal prerequisites for the associate level; it recommends relevant hands-on experience with the lakehouse.
Subject- and topic-filtered practice across the Data & AI domains this certification covers
A daily plan that blends new practice with FSRS spaced revision of what you have already attempted
Per-topic ability estimates (IRT theta and BKT mastery) that surface your weakest domains first
A rationale on every attempt, reactive to the specific mistake you made
No verified question bank yet
No verified Databricks DE question bank exists yet, so no practice sessions or mock exams are published for this certification. The syllabus and exam information here are published now; the bank is listed as soon as its questions pass verification.
Databricks sets the exam content, timing and policy. Those details are restated from the issuer's published material and can change between versions — treat the issuer's own page as the authority for your attempt.
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Questions
Not yet. No verified Databricks DE question bank exists today, so no practice session is advertised — an empty screen is worse than an honest wait. The syllabus, exam pattern and eligibility are published here now, and the bank is listed as soon as it is verified.
Databricks Certified Data Engineer – Associate is examined across these areas: Data ingestion and ETL; Data modelling and analytics; Data quality and governance; Lakehouse tooling and operations. A proctored exam of multiple-choice items covering data engineering topics such as Delta Lake, Spark, data flows, data quality and governance.
Databricks sets it, and it changes between policy versions. Databricks publishes no formal prerequisites for the associate level; it recommends relevant hands-on experience with the lakehouse.