Databricks Certified Machine Learning Associate Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

Databricks Certified Machine Learning Associate Study Guide 2026

Complete exam coverage for the Databricks Certified Machine Learning Associate: syllabus, domains, key topics, study plan and practical exam preparation strategy.

48
Questions
90 min
Duration
Pass/Fail (passing percentage not published)
Passing score
4
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Databricks Machine Learning
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Data Processing
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Model Development
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Model Deployment
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Exam at a Glance

Databricks Certified Machine Learning Associate Exam Overview

Key facts about the Databricks Certified Machine Learning Associate exam structure, format and scoring.

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databricks-ml-associate
Exam code
๐Ÿ“
48 questions
Total questions
โฑ
90 minutes
Duration
๐ŸŽฏ
Pass/Fail (passing percentage not published)
Passing score
๐Ÿ“‹
4 domains
Exam domains
๐Ÿ†
Certification
Credential type
โ„น๏ธ
Scoring method: Databricks reports a pass/fail result and does not publish a passing percentage on the exam page or guide. The exam may include up to 10 unidentified unscored items that do not affect the result; extra time is already built into the limit.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the Databricks Certified Machine Learning Associate exam?

Start with the domains that make up the Databricks Certified Machine Learning Associate exam. Use the detailed syllabus below to work through the individual topics.

โš ๏ธ
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Databricks Machine Learning (38%)
Using Databricks ML tooling: AutoML, feature tables, MLflow and the UC model registry.
🏗
Data Processing (19%)
Exploring, cleaning and transforming features for modeling.
⚡
Model Development (31%)
Selecting, tuning and evaluating models.
💰
Model Deployment (12%)
Serving models for batch, streaming and real-time inference.
Full Syllabus

Databricks Certified Machine Learning Associate Exam Syllabus and Topics

The Databricks Certified Machine Learning Associate exam is divided into 4 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

AutoML and Runtime
MLOps best practices
Benefits of Databricks Runtime for ML
AutoML for model and feature selection
AutoML-generated notebooks
Feature Engineering in Unity Catalog
Account-level vs. workspace-level feature store benefits
Creating and writing feature tables
Training and scoring with feature tables
Online vs. offline feature tables
MLflow and Model Registry
Finding the best run with the MLflow Client API
Manually logging metrics, artifacts and models
Registering models in Unity Catalog
Champion/challenger aliases and tags
Code promotion vs. model promotion
~18 questions
38 marks
38% of exam weight
Exploration
Summary statistics with .summary() and dbutils
Visualizing categorical and continuous features
Outlier removal with standard deviation or IQR
Comparing distributions of categorical features
Feature Preparation
Imputing with mean, median or mode
One-hot encoding use cases
Log-scale transformations
Comparing imputation methods
~9 questions
19 marks
19% of exam weight
Algorithms and Pipelines
Algorithm selection from ML foundations
Mitigating class imbalance
Estimators vs. transformers
Building training pipelines
Tuning and Validation
Hyperopt fmin
Random, grid and Bayesian search
Cross-validation vs. train-validation split
Counting models trained in grid search with CV
Parallelizing single-node model tuning
Evaluation
F1, log loss and ROC/AUC
RMSE, MAE and R-squared
Exponentiating log-transformed predictions
Bias-variance tradeoff
~15 questions
31 marks
31% of exam weight
Serving Approaches
Batch vs. streaming vs. real-time serving
Batch inference with pandas
Streaming inference with Lakeflow Declarative Pipelines
Choosing an approach for latency needs
Model Serving Endpoints
Deploying custom models to Model Serving endpoints
Querying endpoints for real-time inference
Traffic splitting between endpoints
Serving models registered in Unity Catalog
~6 questions
12 marks
12% of exam weight
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Study Plan

Databricks Certified Machine Learning Associate Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass Databricks Certified Machine Learning Associate on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
Databricks Machine Learning is 38% - practise AutoML, feature tables via FeatureEngineeringClient and the Unity Catalog model registry.
🔍
Use champion/challenger aliases, not legacy workspace-registry stage transitions, which are now wrong answers.
⏭
Work through Hyperopt and grid-search arithmetic so you can quickly count how many models a CV grid trains.
📊
Know which metric fits each problem type and remember to exponentiate log-transformed predictions before evaluation.
🔁
With 48 scored items in 90 minutes, budget under two minutes each and flag code-reading items for review.
Recommended Resources

Databricks Certified Machine Learning Associate Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
Databricks Certified Machine Learning Associate Practice Test
Practice questions with explanations and domain-level performance analysis.
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Mock Exam
Databricks Certified Machine Learning Associate Mock Exam
Timed preparation under realistic exam-style conditions.
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Training
Databricks Certified Machine Learning Associate Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ Databricks Certified Machine Learning Associate certification online training
AI Tutor
Databricks Certified Machine Learning Associate AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
โ†’ Try Databricks Certified Machine Learning Associate AI tutor
Reference
Databricks Certified Machine Learning Associate Cheat Sheet
Quick-reference summaries for final revision.
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Diagnostic
Databricks Certified Machine Learning Associate Readiness Test
Assess your preparation and identify weaker exam domains.
โ†’ Check my readiness
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Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
Reviews

What candidates say after passing

FAQ

Frequently asked questions about Databricks Certified Machine Learning Associate

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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