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Databricks Databricks-Machine-Learning-Associate Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Databricks Machine Learning: It covers sub-topics of AutoML, Databricks Runtime, Feature Store, and MLflow.
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| Topic 2 | - Scaling ML Models: This topic covers Model Distribution and Ensembling Distribution.
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| Topic 3 | - ML Workflows: The topic focuses on Exploratory Data Analysis, Feature Engineering, Training, Evaluation and Selection.
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| Topic 4 | - Spark ML: It discusses the concepts of Distributed ML. Moreover, this topic covers Spark ML Modeling APIs, Hyperopt, Pandas API, Pandas UDFs, and Function APIs.
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Reference: https://www.databricks.com/learn/certification/machine-learning-associate
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