Databricks
Data & AI · Associate
A workable Databricks DE plan is short: attempt a timed set across the domains above, review every rationale, and let spaced repetition bring your weak domains back until they hold. Koshish automates that loop — you supply the time, it decides what to show you next.
Each step below is something Koshish does for you automatically once you start a session.
Subject- and topic-filtered practice across the Data & AI domains the 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 rather than a generic explanation
Weak-topic analysis that decides what comes next instead of leaving the order to you
Better to learn this on day one than three months in.
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.
Questions
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.