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Last Updated: Aug 24, 2026
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Microsoft provides you with the elaborate outline of the skills that you need to acquire before attempting the test. The specific topics of the exam along with the main subtopics are enumerated below:
Answering the questions that are drawn from this domain, the test takers should be able to perform the tasks such as performing feature selection as well as performing feature extraction.
This subject area revolves around cleansing and transforming data; performing EDA (Exploratory Data Analysis); transforming data into usable datasets.
The skills measured within this topic include selecting an algorithmic approach; evaluating model performance; training the model; identifying data imbalances; splitting datasets, and so on.
To answer the questions within this objective, the applicants should have the professional ability to accomplish such technical tasks as selecting a development environment; quantifying the business problem; setting up a development environment; etc.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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| Section | Weight | Objectives |
|---|---|---|
| Prepare a model for deployment | 20-25% | - Deploy machine learning models
|
| Deploy and retrain models | 10-15% | - Monitor deployed models
|
| Design and prepare a machine learning solution | 20-25% | - Design an Azure Machine Learning workspace
|
| Explore data and train models | 35-40% | - Optimize model performance
|
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