Exam Name: Designing and Implementing a Data Science Solution on Azure

Exam Code: DP-100

Related Certification(s): Microsoft Azure Data Scientist Associate Certification

Certification Provider: Microsoft

Actual Exam Duration: 100 Minutes

Number of DP-100 Practice Questions: 506 (updated: )

Microsoft Recommended Focus Areas for the DP-100 Exam:
Topic 1: Design and prepare a machine learning solution
This section covers selecting Azure Machine Learning services, designing machine learning workspaces, choosing compute resources, and planning the architecture of a machine learning solution.
Topic 2: Explore data and train models
This topic includes data exploration, preprocessing data, feature engineering, training machine learning models, and evaluating model performance using Azure Machine Learning tools.
Topic 3: Prepare a model for deployment
This section focuses on managing trained models, versioning models, packaging models, and preparing models for deployment in Azure Machine Learning environments.
Topic 4: Deploy and monitor machine learning models
This topic covers deploying models as web services, managing endpoints, monitoring model performance, and retraining models to maintain accuracy and reliability.
Free Microsoft DP-100 Exam Actual Questions
Note: Microsoft DP-100 Premium Questions were last updated on

Q1. Which security model assumes that every access request must be verified regardless of location?

Q2. Which Microsoft service provides security posture management and threat protection for hybrid and cloud workloads?

Q3. Which Microsoft solution provides a cloud-native SIEM and SOAR platform?

Q4. Which Microsoft Entra feature allows administrators to enforce access policies based on user conditions?

Q5. Which Microsoft service helps manage privileged access to critical resources?