Microsoft DP-100 Exam Syllabus

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Before starting your DP-100 exam preparation, it is recommended to review the complete Microsoft Designing and Implementing a Data Science Solution on Azure exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free DP-100 questions. We also provide premium DP-100 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Microsoft DP-100 Exam Objectives

Section	Weight	Objectives
Design and prepare a machine learning solution	20-25%	Design a machine learning solution Create and manage resources in an Azure Machine Learning workspace Create and manage assets in an Azure Machine Learning workspace
Explore data, and run experiments	20-25%	Use automated machine learning to explore optimal models Use notebooks for custom model training Automate hyperparameter tuning
Train and deploy models	25-30%	Run model training scripts Implement training pipelines Manage models Deploy a model
Optimize language models for AI applications	25-30%	Prepare for model optimization Optimize through prompt engineering and Prompt flow Optimize through Retrieval Augmented Generation (RAG) Optimize through fine-tuning
Official Information		https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

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