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

070-774

Exam Code: 070-774

Exam Name: Perform Cloud Data Science with Azure Machine Learning

Updated: Aug 11, 2026

Q & A: 65 Questions and Answers

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Overview about Overview about MICROSOFT 70-774 Exam

  • Format: Multiple choice, multiple answer
  • Length of Examination: 120 minutes
  • Passing Score: 70-80%
  • Registration Fee: 165 USD
  • Number of Questions: 40-60

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

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

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

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Microsoft 070-774 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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. Unsupervised learning models
        • 2. Supervised learning models
          Topic 2: Prepare and process data for Azure Machine Learning- Data preparation and transformation
          • 1. Transform features for modeling
            • 2. Clean missing or inconsistent data
              - Data ingestion and storage
              • 1. Import data into Azure Machine Learning datasets
                • 2. Connect to Azure storage services
                  Topic 3: Evaluate and optimize models- Model tuning and improvement
                  • 1. Hyperparameter tuning
                    • 2. Feature selection and engineering
                      - Model evaluation techniques
                      • 1. Accuracy, precision, recall, F1 score
                        • 2. ROC and AUC analysis
                          Topic 4: Deploy and manage models- Model deployment in Azure
                          • 1. Deploy to Azure web services
                            • 2. Batch inference pipelines
                              - Operationalization
                              • 1. Monitor deployed models
                                • 2. Update and retrain models

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                                  070-774 - Perform Cloud Data Science with Azure Machine Learning
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