- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: DP-100
- Certification Level: Associate
- Exam Duration: 120 minutes
- Passing Score: 700 out of 1000
- Unscored Content: Microsoft exams may include unscored questions for research purposes. These do not affect your score and are not identified during the exam.
Exam Details
- Question Types: Multiple choice, multiple response, case studies, drag-and-drop, scenario-based questions
- Number of Questions: Typically 40–60 questions (may vary)
- Hands-On Questions: Scenario-based implementation questions focused on Azure Machine Learning solutions and model lifecycle management.
Exam Policies
- Exam Provider: Pearson VUE
- Rescheduling/Cancellation: Must be completed at least 24 hours before the scheduled exam time
- Waiting Period: 24 hours after first failure; 14 days after second and subsequent failures (maximum five attempts in 12 months)
- Retake Fee: Full exam fee must be paid for each retake
Certification Validity and Renewal
- Validity: 1 year
- Renewal Options: Free online renewal assessment through Microsoft Learn before expiration
Exam Fee
Base Fee:- India – 4865 INR
- Europe – 126 EUR
- Middle East – 83 USD
- USA – 165 USD (excluding taxes; fees may vary by country)
- Taxes: Country-specific GST/VAT may apply.
- Example: In India, an 18% tax applies, making the total 5740 INR (4865 INR + 857 INR tax).
Prerequisites
There are no formal prerequisites for DP-100. However, Microsoft recommends:- Knowledge of Python and data science libraries (such as pandas, scikit-learn, or PyTorch)
- Experience with Azure Machine Learning
- Understanding of data science and machine learning concepts
Exam Topics
- Manage Azure ML workspaces and compute targets (Setting up and maintaining environments)
- Run experiments, train models, and perform data exploration/preparation (Exploratory Data Analysis, feature engineering)
- Optimize, deploy, monitor, and retrain models (Operationalizing ML solutions; includes pipelines and MLOps)
- Use language models and Azure AI services for AI applications (e.g., MLflow, Azure AI Foundry, Azure AI Search)
Intended Audience
Ideal for:- Data Scientists, ML Engineers, or AI professionals building, training, and operationalizing ML models at scale using Azure
- Candidates applying ML in production environments using Azure Machine Learning, MLflow, Azure AI tools, pipelines, and monitoring solutions
Career Impact
- Jobs You Can Get: Data Scientist, Machine Learning Engineer, AI Engineer, Cloud Data Specialist
Average Salary: Varies by country — U.S.: $110,000–$150,000 USD, India: ₹10,00,000–₹25,00,000 INR, United Kingdom: £55,000–£85,000 GBP, UAE: 180,000–300,000 AED per year. - Why It’s Valuable: Validates expertise in designing scalable machine learning solutions using Azure, a widely adopted cloud platform for enterprise AI and data science workloads.
Exam Mode
- The exam is proctored and can be taken either:
- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE’s online proctoring system
Exam Booking Link
Book your DP-100 exam via Microsoft Certification — Click here (https://learn.microsoft.com/certifications/)
Once you pass the exam
- Download your certification from the Microsoft Certification Dashboard
- Processing Time: Certification status typically updates within 24 hours
- Log in to your Microsoft Learn profile
- Navigate to the Certifications section
- Download your certificate (PDF format)
Offers
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Top Reasons to Choose
Designing and Implementing a Data Science Solution on Azure
High Demand for Cloud-Based Data Science Expertise
Organizations increasingly rely on Azure Machine Learning to build and deploy AI solutions. DP-100 validates the ability to design, train, deploy, and monitor scalable machine learning models in enterprise cloud environments.
Strong Focus on Real-World Machine Learning Lifecycle
The exam emphasizes data preparation, model training, deployment pipelines, monitoring, and retraining—critical skills required to operationalize machine learning solutions in production environments.
Career Growth and AI Specialization
As an official Microsoft Associate-level certification, DP-100 enhances professional credibility and supports advancement into data science, machine learning engineering, and AI solution architecture roles globally.
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FAQ
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Who should take the DP-100 exam?
The DP-100 exam is ideal for data scientists and machine learning professionals who design and implement Azure Machine Learning solutions. Candidates typically have experience with Python-based data science workflows and are responsible for training, deploying, and monitoring machine learning models in cloud environments.
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How difficult is the DP-100 exam?
The DP-100 exam is considered intermediate to advanced and requires hands-on experience with Azure Machine Learning. It tests practical implementation of data exploration, model training, deployment, and monitoring workflows. Candidates without real-world machine learning experience may find it challenging.
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Why does Microsoft offer the DP-100 certification?
Microsoft offers DP-100 to validate advanced data science and machine learning skills within Azure environments. As enterprises scale AI workloads, they require professionals capable of designing, deploying, and maintaining reliable machine learning solutions in production cloud environments.
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What tools and resources can be used to prepare for DP-100?
Candidates can prepare using Microsoft Learn learning paths, Azure Machine Learning documentation, hands-on labs, and real-world model deployment practice. Experience with Python, ML frameworks, and Azure ML pipelines significantly improves exam readiness.
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Is the DP-100 certification valuable in 2026?
Yes, DP-100 remains highly valuable in 2026 as AI adoption continues across industries. Organizations require skilled professionals to operationalize machine learning solutions securely and efficiently, ensuring sustained demand for certified Azure Data Scientists worldwide.
