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Demonstrate expertise in building and deploying ML models on Azure
Data scientists are among the highest-paid professionals in tech
Organizations need ML expertise as AI adoption accelerates
Master Microsoft's enterprise ML platform used by thousands
Realistic DP-100 exam questions covering all ML domains with detailed explanations.
Master Azure ML concepts, pipelines, AutoML, and deployment strategies.
Simulate the real exam with timed practice tests.
Comprehensive notes covering Azure ML workspace, experiments, and deployments.
Track your mastery across all data science domains.
All content aligned with the latest DP-100 exam objectives.
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Azure DP-100 validates skills in using Azure Machine Learning to design and run ML solutions, train models, and deploy them to production.
DP-100 covers: Design a machine learning solution (20-25%), Explore data and train models (25-30%), Prepare a model for deployment (20-25%), and Deploy and maintain a model (20-25%).
DP-100 requires solid Python and ML knowledge. With 2-3 months of study including hands-on Azure ML practice, most candidates pass successfully.
The passing score is 700 out of 1000. The exam typically has 40-60 questions and you have approximately 100 minutes to complete it.
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