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The Databricks Certified Machine Learning Associate certification exam assesses an individual’s ability to use Databricks to perform basic machine learning tasks. This includes an ability to understand and use Databricks and its machine learning capabilities like AutoML, Unity Catalog and select features of MLflow. It also assesses the ability to explore data and perform feature engineering. Additionally, the exam assesses model building through training, tuning and evaluation and selection. Finally, an ability to deploy machine learning models is assessed. Individuals who pass this certification exam can be expected to complete basic machine learning tasks using Databricks and its associated tools.

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Exam Outline: Databricks Machine Learning

Exam Outline: Model Development

Exam Outline: Data Processing/ML Workflows

Exam Outline: Model Deployment

Model Deployment Fundamentals

Feture Engineering Pipeline

Hyperparameter Tuning Fundamentals

AutoML Fundamentals

Batch Deployment

Real-time Deployment and Online Stores

Databricks Model Serving

Machine Learning Operations