Databricks
Data & AI · Associate
Databricks Certified Data Engineer – Associate is examined as follows: A proctored exam of multiple-choice items covering data engineering topics such as Delta Lake, Spark, data flows, data quality and governance. The areas it covers are Data ingestion and ETL, Data modelling and analytics, Data quality and governance and Lakehouse tooling and operations. This page sets out what Databricks publishes about the exam and what Koshish does not yet have questions for.
Databricks publishes the exam content, timing and delivery rules. Restated here without the volatile specifics that change between versions.
A proctored exam of multiple-choice items covering data engineering topics such as Delta Lake, Spark, data flows, data quality and governance.
Level: Associate certification
Issued by: Databricks
These are the areas the certification is examined across, as published by the issuer.
Data ingestion and ETL
Data modelling and analytics
Data quality and governance
Lakehouse tooling and operations
Stated explicitly so nothing on this page reads as a promise the product cannot keep.
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 above are published now; the bank appears here once it is verified.
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.
Case-study and scenario essay practice, lab environments and hands-on performance exams are outside written-MCQ practice and are not claimed here.
प्रश्न
Not yet. The Databricks DE question bank does not exist today, so we are not advertising practice sessions that would open onto an empty screen. The data & ai syllabus, exam pattern and eligibility are published here now, and the bank will be listed as soon as its questions pass verification.
Databricks Certified Data Engineer – Associate is examined across these areas: Data ingestion and ETL, Data modelling and analytics, Data quality and governance and 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. Databricks is the authority for the criteria that apply to your attempt.
Databricks certifications renew every two years by re-taking the related certification exam, per its published policy.