Databricks Certified Machine Learning Associate

Databricks ML Associate · ● Active · Associate · Databricks

Validates core competency in using Databricks to perform machine learning tasks, including data preparation, feature engineering, model development, and deployment using MLflow and AutoML within the Databricks Lakehouse platform.

Exam facts

Vendor source — Databricks Certification ↗

Official exam guide — ML Associate Exam Guide PDF ↗

Exam objectives — Databricks ML Associate ↗

About

The Databricks Certified Machine Learning Associate is a vendor-specific certification that validates practical ability to perform core machine learning tasks on the Databricks Lakehouse platform. Launched in 2023, this certification targets data engineers and data scientists with foundational machine learning experience who want to demonstrate competency in data preparation, feature engineering, model training, and deployment using Databricks tools including MLflow, AutoML, and Feature Store. The exam assesses hands-on proficiency in building and deploying production-grade ML workflows within the Databricks environment.

Domain context — Data & AI

Hyperscale data platforms and machine learning systems for enterprise data science.

Read full deep dive — Databricks Lakehouse Ecosystem →

Topics covered

• Databricks Machine Learning (38%) — AutoML, MLflow, Unity Catalog, Feature Store, Spark ML fundamentals
• ML Workflows (19%) — End-to-end ML lifecycle, experiment tracking, model registry, reproducibility
• Model Development (31%) — Feature engineering, data preparation, model training, hyperparameter tuning, model evaluation
• Model Deployment (12%) — Model serving, batch inference, monitoring, CI/CD for ML pipelines

Source: Official exam guide ↗

Common skills at Data & AI · Associate

Shared competencies for data science and ML engineering roles at associate level.

• Python programming (data structures, control flow, libraries: pandas, scikit-learn, PySpark)
• SQL for data exploration and preparation
• Exploratory data analysis (EDA) and statistical reasoning
• Feature engineering and selection techniques
• Machine learning model types and when to apply them
• Model evaluation metrics and validation strategies
• Version control (Git) and collaborative development

Recommended courses at Data & AI · Associate

Practice exams

Books

Note: As of May 2026, no published book specifically covers the ML Associate exam. Preparation relies on official Databricks training modules and practice exam platforms.

Typical job titles at Data & AI · Associate

Machine Learning Engineer · Data Scientist · ML Ops Engineer · Data Engineer · Analytics Engineer · ML Applications Developer

(Job titles drawn from current job postings that list Databricks ML certifications as required or preferred.)

Salary

Salary context: Ranges reflect entry- to mid-level positions for professionals holding this certification or equivalent. ML Engineers with Databricks expertise command premiums due to platform-specific demand. ZAR figures are approximate conversions (1 USD ≈ 18.5 ZAR as of May 2026); local salaries reflect South African market rates for ML professionals.

Skills validated

Concrete technologies and methodologies tested by this exam.

• MLflow (experiment tracking, model registry, model serving)
• AutoML for rapid model prototyping
• Feature Store for feature management and discovery
• Delta Lake for reliable, versioned data
• PySpark and Spark SQL for distributed data processing
• Scikit-learn and XGBoost model implementation
• Hyperparameter tuning and model selection
• Model evaluation metrics and cross-validation
• Unity Catalog for governance and access control
• Batch and real-time inference patterns

Related certifications

• Prerequisite for: Databricks Certified Machine Learning Professional ↗ (if available)
• Complementary cert: Databricks Certified Data Engineer Associate ↗ (if available)
• Vendor overview: Databricks Overview ↗
• Cross-vendor equivalent: AWS Certified Machine Learning Engineer Associate (not a direct equivalent, but overlapping scope)

Sources

• Databricks Certification ↗
• ML Associate Exam Guide PDF ↗
• Databricks Training Catalog ↗
• Databricks Academy Free Courses ↗
• Machine Learning with Databricks Course ↗
• Udemy Databricks ML Associate Courses ↗
• Levels.fyi Databricks Salaries ↗
• Glassdoor ML Engineer Salaries ↗
• PayScale ZA ML Engineer ↗
• ExamTopics Practice Questions ↗
• Whizlabs Practice Tests ↗

Last verified: 2026-05-01 Parent ecosystem: Databricks Lakehouse Ecosystem Parent domain: Data & AI Vendor overview: Databricks Overview