Databricks-Machine-Learning-Associate Exam Topics

Databricks-Machine-Learning-Associate Exam Overview :

Exam Name:	Databricks Certified Machine Learning Associate Exam
Exam Code:	Databricks-Machine-Learning-Associate
Certifications:	Databricks Machine Learning Associate Certification
See Expected Questions:	Databricks Databricks-Machine-Learning-Associate Expected Questions in Actual Exam

Databricks-Machine-Learning-Associate Exam Objectives :

Section	Weight	Objectives
Databricks Machine Learning	29%	This portion of the Databricks-Machine-Learning-Associate exam covers core skills related to Machine Learning and focuses on implementation, training, and managing models. It also covers machine learning ,odels and libraries in addition to the implementation of machine learning using Databricks tool.
ML Workflows	29%	In this section of the exam, the ML Workflows module aims to evaluate the skill of learnrs related to creating machine learning frameworks such as preparation of data, model training, implementation, inspecting, and how to administer action to manage machine learning workflows.
Spark ML	33%	In this section of the exam of the Databricks-Machine-Learning-Associate, the aim is to test a candidate on using Spark ML. This includes tuning, creating, and assessing machine learning models using Apache Spark's library.
Scaling ML Models	9%	In this section of the exam, candidates are tested for their knowledge of scaling machine learning frameworks and using strategies for optimizing performance. The section also covers managing resources within a distributed computing sphere.
Official Information		https://www.databricks.com/learn/certification/machine-learning-associate

Updates in the Databricks-Machine-Learning-Associate Exam Topics:

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