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DP-100 Microsoft Azure Data Scientist Associate
About the Certification
This is a specialization certification at the Azure Data Scientist Associate level. It focuses on designing, training, deploying, and monitoring Machine Learning models using Azure Machine Learning. The certification provides full practical experience for building end-to-end Artificial Intelligence solutions on Azure.
Main Curriculum
The curriculum is divided into five major parts
- Setting Up the Azure Machine Learning Environment
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- Azure Machine Learning workspaces
- Compute targets
- Environments
- Datasets and datastores
- Data Management and Preparation for Machine Learning
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- Data labeling
- Feature engineering
- Data preprocessing
- Responsible AI
- Automated and Advanced Model Training
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- Automated Machine Learning
- Hyperparameter tuning
- Training pipelines
- Using SDK and Command-Line Interface (CLI)
Exam Details
- Exam code: DP-100
- Duration: 120 minutes
- Number of questions: 40–60
- Question types: Multiple choice, scenario-based questions, and drag-and-drop
- Language: English
- Model Deployment and MLOps Development
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- Model deployment
- Azure Container Instances
- Azure Kubernetes Service (AKS)
- Endpoint management
- Passing score: 700 out of 1000
- Exam fee: USD 83–165 (may vary by country and may include taxes in some regions)
- Certification Validity The certification is valid for one year, with free annual renewal through Microsoft Learn.
- Model Monitoring and Performance Optimization
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- Model drift
- Data drift
- Logging and monitoring
- Retraining strategies
Do I need any certifications before it ?
No prerequisites are required.However, it is recommended to have foundational knowledge of Machine Learning concepts (such as AI-900), basic experience with Python, and a general understanding of the Azure platform to better absorb the content.
Which certifications are recommended after this one ?
Not mandatory. However, for those seeking a strong career path in Data Science on Microsoft Azure particularly in building, training, and deploying Machine Learning models using Azure Machine Learning the DP-100 Microsoft Azure Data Scientist Associate certification represents the strongest specialization.
What are the main uses of the DP-100 certification ?
- AI-102 — Azure AI Engineer: For expanding the use of Machine Learning in intelligent solutions (Vision and NLP).
- DP-203 — Data Engineering: For developing data pipelines and data platforms.
- AZ-305 — Solutions Architect Expert: For designing enterprise-scale AI solutions.
- AZ-900 / DP-900: For strengthening cloud and data fundamentals.
Your First Step Toward Data Science and Artificial Intelligence on Azure :
- This certification represents the true specialization in Data Science. It provides hands-on skills for training and deploying Machine Learning models on Azure and opens strong career paths in Artificial Intelligence and MLOps.
Who is this certification suitable for ?
- Professionals working or aiming to work as Data Scientists.
- Data Engineers who need to build Machine Learning models on Azure.
- Developers interested in practical Machine Learning applications.
- Individuals planning to specialize in applied Artificial Intelligence.