Microsoft 070-774 guide torrent - Perform Cloud Data Science with Azure Machine Learning

Updated: Oct 03, 2026

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Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage

Develop Machine Learning Models: 20-25%
Operationalize and Manage Azure Machine Learning Services: 20-25%
Use Other Services for Machine Learning: 20-25%
Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%

Perform Cloud Data Science with Azure Machine Learning 070-774 exam torrent materials

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MICROSOFT 70-774 Exam Reference, Microsoft Documents

Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx

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Microsoft 070-774 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Use Other Services for Machine Learning	10%	- Leverage Cortana Intelligence Gallery - Use SQL Server R Services - Work with Microsoft Cognitive Toolkit - Integrate with HDInsight
Topic 2: Prepare Data for Analysis in Azure Machine Learning	30%	- Cleanse and transform data 1. Handle missing values and outliers 2. Remove duplicates and inconsistent entries - Perform feature engineering 1. Normalize and scale features 2. Create derived features - Explore and summarize data 1. Generate statistical summaries 2. Visualize data distributions - Import and export data 1. Import from files and external sources 2. Export results and datasets 3. Connect to Azure storage and databases
Topic 3: Develop Machine Learning Models	35%	- Validate and evaluate models 1. Use accuracy, precision, recall, AUC 2. Perform cross-validation - Select appropriate algorithms 1. Unsupervised learning methods 2. Supervised learning methods - Train and tune models 1. Split training and test sets 2. Configure parameters
Topic 4: Operationalize and Manage Azure Machine Learning Services	25%	- Manage workspaces and experiments 1. Create and organize projects 2. Share and collaborate - Deploy models as web services 1. Publish to Azure ML Studio 2. Configure endpoints and access - Consume models and APIs 1. Use Cognitive Services APIs 2. Call deployed web services