200+ Free Databricks Machine Learning Associate Practice Questions
Pass your Databricks Certified Machine Learning Associate exam on the first try — instant access, no signup required.
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Key Facts: Databricks Machine Learning Associate Exam
48
Scored Questions
Official exam page
90 min
Time Limit
Official exam page
$200
Exam Fee
Official exam page
38%
Largest Domain
Databricks Machine Learning
Not public
Passing Score
Current official materials
2 years
Validity
Official exam page
Mar 1, 2025
Live Guide Version
Official exam guide
As of March 10, 2026, Databricks publicly lists 48 scored questions, a 90-minute time limit, a $200 registration fee, and four weighted domains: Databricks Machine Learning at 38%, ML Workflows at 19%, Model Development at 31%, and Model Deployment at 12%. Databricks does not publicly publish an exam-specific passing score on the current exam page or live exam guide. The current public guide linked by Databricks is versioned March 1, 2025, and no newer public 2026 blueprint revision was posted on the official exam page when this content was updated.
About the Databricks Machine Learning Associate Exam
The Databricks Certified Machine Learning Associate exam validates foundational machine learning work on Databricks, including platform-aware MLOps decisions, feature engineering, MLflow and Unity Catalog usage, model development, and deployment choices across batch, realtime, and streaming patterns.
Assessment
48 scored questions; unscored items may appear
Time Limit
90 minutes
Passing Score
Not publicly published by Databricks
Exam Fee
$200 (Databricks / Kryterion Webassessor)
Databricks Machine Learning Associate Exam Content Outline
Databricks Machine Learning
MLOps strategy, ML runtimes, AutoML, Unity Catalog feature engineering, online versus offline features, MLflow tracking, model registration, and promotion patterns.
ML Workflows
Data exploration, summary statistics, visualizations, outlier handling, missing-value imputation, categorical encoding, and transformations used before training.
Model Development
Algorithm selection, class imbalance mitigation, estimators versus transformers, pipelines, hyperparameter tuning, cross-validation, evaluation metrics, and bias-variance tradeoffs.
Model Deployment
Choosing between batch, realtime, and streaming inference; deploying custom models; using pandas for batch scoring; Delta Live Tables inference; and controlled endpoint rollout.
How to Pass the Databricks Machine Learning Associate Exam
What You Need to Know
- Passing score: Not publicly published by Databricks
- Assessment: 48 scored questions; unscored items may appear
- Time limit: 90 minutes
- Exam fee: $200
Keys to Passing
- Complete 500+ practice questions
- Score 80%+ consistently before scheduling
- Focus on highest-weighted sections
- Use our AI tutor for tough concepts
Databricks Machine Learning Associate Study Tips from Top Performers
Frequently Asked Questions
How many questions are on the Databricks Certified Machine Learning Associate exam?
Databricks' current exam page lists 48 scored questions with a 90-minute time limit and a $200 registration fee. The live exam guide also notes that unscored items may appear, with additional time factored into the appointment.
What are the official domain weights?
The current Databricks exam page lists four weighted domains: Databricks Machine Learning at 38%, ML Workflows at 19%, Model Development at 31%, and Model Deployment at 12%. That means platform-specific ML tooling and model-development judgment should drive most of your study time.
What passing score do I need?
Databricks does not publicly publish a fixed passing score for this exam on the current exam page or the live March 1, 2025 exam guide. Older community references sometimes cite 70%, but that benchmark is not stated on the current official ML Associate exam materials.
Were there any 2026 blueprint changes?
No newer public 2026 exam-guide revision was found on the official Databricks site when this content was updated on March 10, 2026. The current public guide linked from the exam page is still the version marked as covering the live exam as of March 1, 2025.
Do I need hands-on Databricks experience before taking the exam?
Databricks lists no formal prerequisite, but it recommends related training and at least 6 months of hands-on experience performing the machine learning tasks in the guide. In practice, the exam is much easier if you have actually used AutoML, MLflow, feature tables, tuning workflows, and model serving.
Which Databricks features should I know best?
Focus on AutoML, MLflow tracking and model registration, Unity Catalog feature engineering, Spark or pandas-based preprocessing workflows, hyperparameter tuning, evaluation metrics, and the tradeoffs between batch, realtime, and streaming deployment patterns. The exam expects tool selection and workflow judgment, not just memorized definitions.