140 practice questions for Databricks Certified Machine Learning Associate, with full explanations.
Every question comes with the correct answer, the reasoning behind it, and a short note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.
- 140 questions mapped to the Machine Learning Associate exam guide
- Answers and explanations for every question, including the wrong options
- A questions-only PDF for timed practice runs
- Instant delivery by email the moment you check out
- Free monthly updates for as long as the exam is live
- Pass or your money back
A Machine Learning Associate attempt costs US$200. This pack is US$39, paid once.
Try 10 questions free before you buy.
Last updated September 2026 · 140 questions
What makes the Machine Learning Associate exam hard
Machine Learning Associate is less a machine learning exam than a Databricks-tooling exam with machine learning in it. The current guide, dated March 2025, puts 38% of the marks on the Databricks Machine Learning platform itself, so knowing scikit-learn is table stakes and knowing how AutoML, Feature Engineering in Unity Catalog and MLflow behave on Databricks is what passes.
The exam is 48 scored questions in 90 minutes, all code in Python, and Databricks does not publish the pass mark.
Databricks Machine Learning is 38%: the ML Runtime, AutoML, the Feature Store and Feature Engineering in Unity Catalog, MLflow tracking and the model registry, and MLOps practices on the platform. Model Development at 31% covers preprocessing, Spark ML pipelines, scikit-learn and pandas on Databricks, and hyperparameter tuning. ML Workflows at 19% covers the lifecycle from exploratory data analysis to a registered model, and Model Deployment at 12% covers batch, streaming and real-time serving. Several distractors use the pandas method when the question wants the Spark one, so reading the API in the code sample matters.
About the exam
The Databricks Certified Machine Learning Associate validates entry-level machine learning on the Databricks Data Intelligence Platform: the Databricks ML platform, ML workflows, model development with Spark ML and scikit-learn, and model deployment. There are no prerequisites; Databricks recommends six months of hands-on ML experience on Databricks. The exam guide is dated 1 March 2025.
Exam domains
- Databricks Machine Learning: 38%
- ML Workflows: 19%
- Model Development: 31%
- Model Deployment: 12%
48 scored multiple choice questions, 90 minutes, passing score not published by Databricks (commonly cited as 70%), US$200 per attempt, online proctored or test centre, certification valid for two years.
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