Databricks Certified Machine Learning Professional

Assesses the ability to design, implement, and manage enterprise-scale machine learning solutions using advanced Databricks platform capabilities. Covers building scalable ML pipelines with SparkML, implementing distributed training and hyperparameter tuning, leveraging advanced MLflow features, and utilizing Feature Store concepts for automated feature pipelines. Evaluates MLOps practices including testing strategies, environment management with Databricks Asset Bundles, automated retraining workflows, and monitoring using Lakehouse Monitoring for drift detection. Assesses deployment strategies, custom model serving, and model rollout management. All machine learning code in this exam is in Python.

Sample Questions