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Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Updated: Sep 22, 2026
Q & A: 528 Questions and Answers
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The Microsoft DP-100 exam is created for the individuals who are involved in implementing machine learning techniques. The candidates for this certification test should have an in-depth knowledge of identifying and preparing the development environment, applying scientific data and rigor exploration techniques to acquire actionable insights along with communicating results to the stakeholders. They should also possess the skills in preparing data for modeling and developing models. In addition, they should also be able to apply machine learning techniques to train, deploy and evaluate models to build any AI solutions, which satisfy the business objectives.
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The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
| Section | Objectives |
|---|---|
| Topic 1: Design and prepare a machine learning solution | - Select appropriate Azure services for machine learning workloads - Manage compute and data assets - Plan and configure Azure Machine Learning workspace |
| Topic 2: Train machine learning models | - Tune hyperparameters and evaluate models - Train models using Azure Machine Learning |
| Topic 3: Explore and analyze data | - Perform exploratory data analysis - Ingest and prepare data for modeling |
| Topic 4: Deploy and consume models | - Monitor deployed models and endpoints - Deploy models to endpoints |
| Topic 5: Optimize and manage models | - Track experiments and manage model lifecycle - Improve model performance |
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