Microsoft DP-100 Practice Test Questions Answers
Exam Code: DP-100
(Updated 428 Q&As with Explanation)
Exam Name: Designing and Implementing a Data Science Solution on Azure
Last Update: 03-Oct-2024
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DP-100 Overview
Microsoft DP-100 Exam Overview
Overview | Details |
---|---|
Exam Name | Designing and Implementing Data Science Solutions on Azure |
Exam Code | DP-100 |
Duration | 180 minutes |
Number of Questions | 40-60 (multiple-choice, drag-and-drop, case studies) |
Passing Score | 70% (between 28-42 correct answers, depending on exam difficulty) |
Format | Computer-based (Pearson VUE testing centers or online proctored) |
Language | English |
Content Areas (Weight) | * Manage Azure resources for machine learning (25-30%) |
* Run experiments and train models (20-25%) | |
* Deploy and operationalize machine learning solutions (35-40%) | |
* Implement responsible machine learning (5-10%) |
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Microsoft DP-100 Exam Topics Breakdown
Topic | Subtopics |
---|---|
Manage Azure resources for machine learning | Azure compute resources, storage for machine learning, Azure Machine Learning service, containerization, virtual networks |
Run experiments and train models | Data pre-processing, feature engineering, model selection, training and evaluation, hyperparameter tuning |
Deploy and operationalize machine learning solutions | Model deployment options, Azure Machine Learning scoring infrastructure, model monitoring and retraining, CI/CD pipelines |
Implement responsible machine learning |
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