Microsoft Azure Data Scientist DP-100 guide exam help

Microsoft Azure Data Scientist Associate (DP-100) is the exam for candidates who apply data science and machine learning to implement and run machine learning workloads on Azure. Microsoft states that the certification, related exam, and renewal assessments retire on June 1, 2026, and the DP-100 study guide says the exam retires at 11:59 PM Central Standard Time on that date. The current skills were measured as of April 11, 2025, the Microsoft exam page lists a 100-minute assessment, and Microsoft requires a score of 700 or greater to pass. The current outline covers Design and prepare a machine learning solution (20-25%), Explore data, and run experiments (20-25%), Train and deploy models (25-30%), and Optimize language models for AI applications (25-30%). Candidates should practice Azure Machine Learning workspaces, datastores, compute targets, environments, registries, automated ML, notebooks, Synapse Spark pools, feature stores, MLflow tracking, hyperparameter tuning, pipelines, model registration, vector stores, Azure AI Search indexes, RAG evaluation, fine-tuning, prompt engineering, and prompt flow. Microsoft also notes that Azure AI Foundry is now Microsoft Foundry and related materials are being updated.