Practice for Databricks certifications
Databricks offers no official practice exams; its own prep guide suggests generating questions with an AI assistant. Ours are already written, and the code questions were executed on a real Spark engine before publication, so the answer key is what the engine printed, not what a model believed. Original questions only: real exam content is covered by the exam NDA, and dumps can void a certification.
Delta, pipelines, SQL and Spark semantics across the domains the associate exam actually tests.
15 questions per run · unlimited runs · freeThe same engineering surface at production depth: edge cases and the semantics that cause incidents.
15 questions per run · unlimited runs · freeDataFrame API behaviour, nulls, joins and evaluation order, every question executed on Spark first.
15 questions per run · unlimited runs · freeSQL semantics, aggregation edge cases and the data-quality rules behind trustworthy numbers.
12 questions per run · unlimited runs · freeMLflow tracking, models in Unity Catalog, the feature store, AutoML, and serving, every claim doc-cited.
12 questions per run · unlimited runs · freeVector search, agents, model serving for LLMs, and GenAI evaluation, grounded in current docs.
12 questions per run · unlimited runs · freePreparing for the ML Professional, Context Engineer, or a platform credential? The bank does not cover those yet, so we will not pretend otherwise: see every certification compared and the official AI Prep Guide .
Five questions a day
The Daily Brick is the habit half of prep: the same five questions for everyone, every day, in under three minutes. Streaks survive a missed day or two.
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