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Azure Data Scientist (DP-100) Study Guide

Domain-by-domain study guide for Microsoft Azure Data Scientist Associate (DP-100). Covers all 4 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

DP-100

Domains

Quick Navigation

Jump to a specific exam domain

1. Design a Machine Learning Solution (25%)
2. Explore Data and Train Models (35%)
3. Prepare Data for Modeling (20%)
4. Deploy and Manage Models (20%)

Domain 1

25%

Design a Machine Learning Solution

Design machine learning solutions for Azure

Topics to Master

Design a data ingestion strategy
Design a machine learning solution architecture
Select compute resources for training
Select compute for model hosting

Domain 2

35%

Explore Data and Train Models

Explore data and train machine learning models

Topics to Master

Explore and analyze data
Train and evaluate regression models
Train and evaluate classification models
Train and evaluate clustering models
Train deep learning models

Domain 3

20%

Prepare Data for Modeling

Prepare data for training and feature engineering

Topics to Master

Access data from Azure data stores
Transform and cleanse data
Perform feature engineering
Work with data pipelines

Domain 4

20%

Deploy and Manage Models

Deploy models and manage the ML lifecycle

Topics to Master

Register and manage models
Deploy models to endpoints
Configure model endpoints
Monitor models in production

Continue Your Prep

Free CertStud resources for DP-100

Study Notes Exam Study Plan Start Practice Test

Back to Azure Data Scientist (DP-100)

Azure Data Scientist (DP-100) Study Guide

Domain-by-domain study guide for Microsoft Azure Data Scientist Associate (DP-100). Covers all 4 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

DP-100

Domains

Quick Navigation

Jump to a specific exam domain

1. Design a Machine Learning Solution (25%)
2. Explore Data and Train Models (35%)
3. Prepare Data for Modeling (20%)
4. Deploy and Manage Models (20%)

Domain 1

25%

Design a Machine Learning Solution

Design machine learning solutions for Azure

Topics to Master

Design a data ingestion strategy
Design a machine learning solution architecture
Select compute resources for training
Select compute for model hosting

Domain 2

35%

Explore Data and Train Models

Explore data and train machine learning models

Topics to Master

Explore and analyze data
Train and evaluate regression models
Train and evaluate classification models
Train and evaluate clustering models
Train deep learning models

Domain 3

20%

Prepare Data for Modeling

Prepare data for training and feature engineering

Topics to Master

Access data from Azure data stores
Transform and cleanse data
Perform feature engineering
Work with data pipelines

Domain 4

20%

Deploy and Manage Models

Deploy models and manage the ML lifecycle

Topics to Master

Register and manage models
Deploy models to endpoints
Configure model endpoints
Monitor models in production

Continue Your Prep

Free CertStud resources for DP-100

Study Notes Exam Study Plan Start Practice Test