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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.
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Comprehensive notes covering Azure ML workspace, experiments, and deployments.
Track your mastery across all data science domains.
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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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