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Microsoft 070-774 Exam Syllabus Topics:

Section	Objectives
Topic 1: Deploy and manage models	- Model deployment in Azure 1. Batch inference pipelines 2. Deploy to Azure web services - Operationalization 1. Monitor deployed models 2. Update and retrain models
Topic 2: Prepare and process data for Azure Machine Learning	- Data ingestion and storage 1. Import data into Azure Machine Learning datasets 2. Connect to Azure storage services - Data preparation and transformation 1. Clean missing or inconsistent data 2. Transform features for modeling
Topic 3: Develop machine learning models	- Training models in Azure Machine Learning 1. Use Azure ML Studio experiments 2. Train models using Python or R scripts - Select and implement algorithms 1. Supervised learning models 2. Unsupervised learning models
Topic 4: Evaluate and optimize models	- Model tuning and improvement 1. Feature selection and engineering 2. Hyperparameter tuning - Model evaluation techniques 1. ROC and AUC analysis 2. Accuracy, precision, recall, F1 score

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