Validates foundational machine learning skills on the Databricks Data Intelligence Platform. Covers Databricks ML capabilities including AutoML, Unity Catalog for ML governance, and core MLflow features such as experiment tracking, the Model Registry, and model serving. Assesses exploratory data analysis, feature engineering, model training, hyperparameter tuning, model evaluation and selection, and model deployment patterns. All machine learning code in this exam is in Python; data manipulation tasks may use SQL.
MLA Set 1
50 questions
MLA Set 2
50 questions
MLA Set 3
50 questions
MLA Set 4
50 questions
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