Databricks Certified Machine Learning Associate
This exam validates using Databricks Machine Learning to complete basic ML tasks: working with the Databricks ML ecosystem (clusters, Repos, Jobs), AutoML and the Feature Store, MLflow tracking and the Model Registry, model development with scikit-learn and Spark ML, and batch and real-time deployment.
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Start Databricks ML Associate examSkills measured
Databricks Machine Learning
29%Databricks ML clusters and runtime, Repos and Jobs, AutoML, and the Feature Store.
ML Workflows
29%Exploratory data analysis, feature engineering, training/validation splits, and handling missing data and outliers.
Model Development
25%MLflow tracking and autologging, the Model Registry, hyperparameter tuning with Hyperopt, and scikit-learn and Spark ML.
Model Deployment
17%Batch, streaming and real-time serving, model packaging, and inference on Spark.