Validates skills in using Azure's machine learning services to train, evaluate, and deploy machine learning models. Covers data science methodology, feature engineering, model training, and MLOps practices on Azure.
Time Limit
120 minutes
Passing Score
700%
Question Bank
305+
This exam covers 4 domains with 11 competencies. Each domain is weighted to reflect its importance on the actual exam.
This domain focuses on the initial stages of a machine learning project, including designing solutions and setting up the necessary Azure resources.
0.225%
Weight
3 Competencies
This domain covers the exploration of data and execution of experiments to develop machine learning models.
0.225%
Weight
2 Competencies
This domain centers on the training of machine learning models and their deployment into production environments.
0.275%
Weight
2 Competencies
This domain addresses the optimization of language models to enhance AI applications.
0.275%
Weight
4 Competencies
ProctorPulse uses AI to generate original practice questions aligned with the official Microsoft exam blueprint.
Review the exam domains and competencies to understand what you need to know.
Take practice exams with 305+ questions covering every domain and competency.
Review explanations, track your scores, and focus on weak areas until you are ready.