Explore Data and Train Models
Data exploration, feature engineering, model training with Azure ML SDK, and experiment tracking.
Key Concepts
Data exploration, feature engineering, model training with Azure ML SDK, and experiment tracking.
📝 Study Tips from Top Scorers
- ✓Master Azure ML SDK v2 for training jobs
- ✓Know common feature engineering techniques
- ✓Understand MLflow tracking integration
📊 Domain Weight: 25-30%
This domain accounts for 25-30% of all Azure DP-100 exam questions. This is one of the most important domains — invest extra study time here.
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❓ FAQ — Explore Data and Train Models
How much of the Azure DP-100 exam is Explore Data and Train Models?
Explore Data and Train Models covers 25-30% of the Azure DP-100 exam, making it one of the most heavily weighted domains.
What topics are covered?
Data exploration, feature engineering, model training with Azure ML SDK, and experiment tracking.
How should I study for this domain?
Focus on understanding core concepts like data exploration, feature engineering, training. Use ExamCert's practice questions filtered by domain, and review detailed explanations for each answer.