Microsoft Azure Data Scientist Associate (DP-100) certification validates your ability to design and implement data science solutions on Microsoft Azure. This guide covers Azure Machine Learning, data preparation, model training, deployment, and DP-100 exam preparation for 2026.
DP-100 validates skills required to run data science workloads on Azure. It is designed for data scientists who build, train, and deploy machine learning models using Azure Machine Learning.
Question 1: Which Azure service is primarily used to train and deploy machine learning models?
Explanation: Azure Machine Learning is the core service for building, training, and deploying ML models.
Question 2: Which compute target in Azure Machine Learning is best for scalable model training?
Explanation: Azure ML Compute Clusters provide scalable, managed compute for training jobs.
Question 3: Which Python library is commonly used in Azure ML for experiment tracking?
Explanation: MLflow is integrated with Azure ML for tracking experiments and model versions.
Question 4: Which Azure service is recommended for big data processing before ML model training?
Explanation: Azure Databricks is widely used for large-scale data preparation and feature engineering.
Question 5: Which feature in Azure ML allows deploying models as REST endpoints?
Explanation: Managed Online Endpoints allow real-time REST API deployment of trained models.
Is DP-100 difficult?
Yes, it is intermediate-level and requires ML knowledge.
Is DP-100 worth it in 2026?
Yes. It is the leading Azure certification for data scientists.
Do I need coding knowledge?
Yes. Python proficiency is required.
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The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning.
Microsoft DP-100 shows expertise in designing and implementing machine learning models on Azure. The exam covers data preparation, model training, evaluation, and deployment.
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The Microsoft Azure DP-100 certification can help you advance your career in data science and machine learning. The certification can help you stand out in a competitive job market and get promotions or raises.
The target audience for the Microsoft Azure DP-100 Certification Exam includes data scientists and AI professionals who design and implement machine learning models on Azure. This exam is ideal for those responsible for managing data science solutions, developing models, and deploying machine learning workflows using Azure Machine Learning services.
The Microsoft Azure DP-100 Certification Exam measures skills in data preparation, model development, deployment, and monitoring using Azure Machine Learning services.
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The Microsoft Azure DP-100 Certification Exam typically consists of 40-60 questions in formats like multiple-choice, drag-and-drop, case studies, and scenario-based questions, with a duration of around 150 minutes and a passing score of 700 out of 1000.
The Microsoft DP-100 Certification Exam is valid for one years from the date you pass the exam .
The prerequisites for the Microsoft Azure DP-100 Certification Exam include experience with data science, familiarity with Python, knowledge of machine learning algorithms, and a basic understanding of Azure Machine Learning services.
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