Databricks Machine Learning Associate: Practice Tests

Prepare for the Databricks Certified Machine Learning Associate exam by practicing the decisions behind an ML workflow, from training data to deployed predictions. This independent course provides 318 original English practice questions across six tests, with an explanation for every option and a focused study tip for each question.

Practice by workflow, then test your judgment

• Platform, Features and MLflow: 72 questions on reproducibility, runtime selection, AutoML, Unity Catalog features and model lifecycle.
• Data Preparation and Feature Decisions: 60 questions on statistics, missing values, visual comparisons, encoding and transformations.
• Training, Tuning and Evaluation: 66 questions on algorithms, imbalance, pipelines, Hyperopt, cross-validation and business metrics.
• Deployment and Inference: 24 questions on batch, streaming, custom models, request contracts and traffic routing.
• Mock 1: Build and Release: 48 mixed questions in 90 minutes.
• Mock 2: Diagnose and Recover: 48 mixed questions in 90 minutes.

The mocks use an author-rounded allocation of 18, 9, 15 and 6 questions across the four domains, based on the published domain weights. They combine single-answer and multiple-answer questions. The 80% practice pass mark is a course setting, not an official exam score conversion or a passing guarantee.

Learn from the choices you make

Work through the focused tests before attempting the mocks under timed conditions. After each attempt, examine why an attractive alternative fails the stated constraints. Calculate evaluation metrics, trace preprocessing, check which identity needs access, and distinguish feature lookup, model registration and endpoint configuration. Revisit the linked documentation and your missed concepts before retrying.

The scope was checked on October 10, 2026 against the official page and its linked guide, live as of March 1, 2025. The guide uses Delta Live Tables terminology; explanations also identify its current Lakeflow Spark Declarative Pipelines name. Version-sensitive runtime assumptions are called out rather than treated as universal defaults.

This is a practice-test course, without video lessons or an included cloud sandbox. It contains original preparation material, not actual or recalled exam questions. It is not affiliated with, endorsed by or sponsored by Databricks. Databricks names and marks belong to their respective owners.

AI disclosure: AI assisted question drafting, explanations, editing and the cover background. The material was checked against cited documentation and reviewed during production. AI-assisted review is not a claim of independent human or professional certification review.