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

  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Aug 12, 2026
  • Q & A: 65 Questions and Answers

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

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  • Python Languages.
  • Machine Learning models
  • HDinsights
  • Machine Learning Projects and workspace
  • Data Science
  • Microsoft R Servers.
  • Algorithms for grouping unlabeled Data.
  • Cognitive Services/API
  • Azure Machine Learning.
  • SQL/T-SQL

Overview about Overview about MICROSOFT 70-774 Exam

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

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

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