Databricks Machine Learning Associate — Practice Questions and Mock Exam

The Databricks Certified Machine Learning Associate exam tests your ability to build, train, and deploy ML models using the Databricks platform. It covers MLflow for experiment tracking and model registry, Feature Store for feature management, AutoML for rapid prototyping, and model serving for production deployment. The largest section focuses on Databricks-specific ML tooling.

The exam consists of 48 scored multiple-choice questions to be completed in 90 minutes. No test aids are allowed. Unscored pilot questions may appear. Available online or at a test center. Databricks does not publish an official passing score. The displayed score is a conservative estimate based on industry standards.

The Databricks ML section (38%) is the largest and most Databricks-specific. Know MLflow APIs for logging, the difference between the MLflow Model Registry and Unity Catalog model registry, and how Feature Store tables work. Model Development questions test general ML knowledge, not just Databricks tooling. Be comfortable with common evaluation metrics and know when to apply different algorithms.

Registration fee is $200 USD. Available in English, Japanese, Portuguese (BR), and Korean. No prerequisites required. 6+ months hands-on experience recommended. Certification is valid for 2 years.