Microsoft DP-100 : Designing and Implementing a Data Science Solution on Azure

DP-100 real exams

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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Microsoft DP-100: Requirements

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.

3. Models Management and Optimization (20-25%):

  • Usage of Automated Machine Learning for the creation of optimal models: This section requires your skills in retrieving the best models and getting data for Automated ML runs. It also covers competence in defining primary metrics, selecting pre-processing alternatives, and determining the algorithms to be searched. The candidates should be able to use the Automated Machine Learning from Azure ML SDK as well as Automated ML interface within Azure ML studios.
  • Usage of model explainers for the interpretation of models: The learners have to demonstrate their competence in choosing model interpreters and generating the features of important data.
  • Usage of hyperdrive for the tuning of hyperparameters: This domain will evaluate the ability of the applicants to define search space, primary metrics, and early termination alternatives. It also expects their skills in sampling techniques selection and model discovery that require optimal hyper-parameter values.
  • Models management: This objective focuses on trained model registration and monitoring of data drift and model usage.

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Certification Path

The Microsoft Certified Azure Data Scientist Associate Certification includes only one DP-100 Exam.

How to Register For Exam DP-100: Designing and Implementing a Data Science Solution on Azure?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-100&examname=Exam%20DP-100:%20Designing%20and%20Implementing%20a%20Data%20Science%20Solution%20on%20Azure&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-100

Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx

Microsoft DP-100 Exam Syllabus Topics:

SectionObjectives
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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