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Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure

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DP-100

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Updated: Aug 14, 2026

No. of Questions: 528 Questions & Answers with Testing Engine

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DP-100 Self Test Engine

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DP-100 Practice Q&A's

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Step 3: Taking Online Learning Paths

In addition, Microsoft recommends that the candidates for the DP-100 exam take online courses to adequately prepare for their test. You can find the following learning paths on the official certification webpage:

  • Build AI Solutions with Azure Machine Learning
  • Create Machine Learning Models
  • Create No-Code Predictive Models with Azure Machine Learning

2. Train Models & Run Experiments (25-30%):

  • Training scripts run within Azure ML workspaces: The students should have the expertise in creating and running experiments utilizing Azure ML SDK as well configuring run settings for the scripts. This subject area also requires their skills in data consumption from datasets for an experiment using Azure ML SDK.
  • Models creation with Azure ML Designer: This domain covers the examinees’ skills in using custom code modules within the design and using designer modules for the definition of pipeline data flows. It also requires one’s competence in ingesting data within designer pipelines and creating training pipelines utilizing ML Designer.
  • Metrics generation from experiment runs: The candidates must be able to use logs for troubleshooting errors in experiment runs, log metrics from experiment run, and view and retrieve experiment outputs.
  • Model training process automation: The individuals need the relevant skills in running pipelines, passing data within steps in pipelines, monitoring pipeline runs, and creating pipelines with the use of SDK.

How much DP-100 Exam Cost

The price of the DP-100 exam is $165 USD.

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

Microsoft DP-100 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Data Science Solution on Azure
Exam Number:DP-100
Exam Duration:100 minutes
Passing Score:700
Related Certifications:Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Exam Format:Multiple choice, Multiple select, Drag and drop, Case studies, Yes/No
Certificate Validity Period:1 year
Available Languages:English, Japanese, Chinese (Simplified), Korean, German, Chinese (Traditional), French, Spanish, Portuguese (Brazil), Italian, Russian, Arabic (Saudi Arabia), Indonesian (Indonesia)
Exam Price:$165 USD
Real Exam Qty:40-60
Recommended Training:Microsoft Learn Learning Path
Course DP-100T01-A: Designing and Implementing a Data Science Solution on Azure
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Registration
Sample Questions:Microsoft DP-100 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended knowledge: Azure fundamentals, Python programming, data science concepts, machine learning frameworks (Scikit-learn, PyTorch, Tensorflow)
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-100

Microsoft DP-100: Preparation Process

Thorough preparation is an important part of the Microsoft DP-100 exam and its associate-level certification. Here is the ultimate guide to prepare for this test with great deliberation.

Microsoft DP-100 Exam Syllabus Topics:

SectionWeightObjectives
Train and deploy models25-30%- Train models
  • 1. Run training scripts
  • 2. Apply responsible AI principles
  • 3. Use HyperDrive for hyperparameter tuning
  • 4. Configure jobs and environments
- Manage models
  • 1. Interpret models and explain predictions
  • 2. Package and validate models
  • 3. Register and version models
- Deploy models
  • 1. Secure endpoints and manage access
  • 2. Deploy to online endpoints
  • 3. Configure compute and scaling
  • 4. Deploy to batch endpoints
- Monitor and maintain models
  • 1. Implement MLOps practices
  • 2. Monitor performance and data drift
  • 3. Update and retrain models
Design and prepare a machine learning solution20-25%- Design a machine learning solution
  • 1. Select development approach
  • 2. Define compute specifications for workloads
  • 3. Plan model deployment requirements
  • 4. Determine dataset structure and format
- Manage Azure Machine Learning workspace
  • 1. Work with registries
  • 2. Set up Git integration
  • 3. Create and configure workspace
  • 4. Use developer tools and CLI
- Manage compute resources
  • 1. Attach and monitor compute
  • 2. Create and configure compute targets
  • 3. Select environments
- Manage data assets
  • 1. Create and maintain data assets
  • 2. Register and manage datastores
  • 3. Select storage services
Explore data and run experiments20-25%- Explore and visualize data
  • 1. Detect anomalies and outliers
  • 2. Profile and validate data
  • 3. Identify features and relationships
- Implement pipelines
  • 1. Build reusable components
  • 2. Schedule and monitor pipelines
  • 3. Pass data between steps
  • 4. Create and publish pipelines
- Run experiments
  • 1. Use automated machine learning
  • 2. Configure experiment runs
  • 3. Track runs with MLflow
  • 4. Define parameters and configurations
Optimize language models for AI applications25-30%- Optimize with Retrieval Augmented Generation
  • 1. Prepare and process data
  • 2. Configure Azure AI Search
  • 3. Create vector stores and indexes
- Implement generative AI solutions
  • 1. Build prompt flows
  • 2. Use Azure AI Foundry
  • 3. Apply prompt engineering
- Evaluate and improve models
  • 1. Optimize for accuracy and safety
  • 2. Apply responsible generative AI
  • 3. Test and evaluate responses

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DP-100 Product FAQ's

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Once download and installed on your PC, you can practice DP-100 test questions, review your questions & answers using two different options 'practice exam' and 'virtual exam'.
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Online Test Engine can supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser. You can use it on any electronic device and practice with self-paced.
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