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Last Updated: Jul 14, 2026

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Overview about Overview about MICROSOFT 70-774 Exam

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

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

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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%
  • Use Other Services for Machine Learning: 20-25%
  • 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%

Microsoft 070-774 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare Data for Analysis in Azure Machine Learning30%- Import and export data
  • 1. Export results and datasets
    • 2. Connect to Azure storage and databases
      • 3. Import from files and external sources
        - Cleanse and transform data
        • 1. Remove duplicates and inconsistent entries
          • 2. Handle missing values and outliers
            - Perform feature engineering
            • 1. Normalize and scale features
              • 2. Create derived features
                - Explore and summarize data
                • 1. Visualize data distributions
                  • 2. Generate statistical summaries
                    Topic 2: Develop Machine Learning Models35%- Train and tune models
                    • 1. Split training and test sets
                      • 2. Configure parameters
                        - Select appropriate algorithms
                        • 1. Supervised learning methods
                          • 2. Unsupervised learning methods
                            - Validate and evaluate models
                            • 1. Use accuracy, precision, recall, AUC
                              • 2. Perform cross-validation
                                Topic 3: Operationalize and Manage Azure Machine Learning Services25%- 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. Call deployed web services
                                          • 2. Use Cognitive Services APIs
                                            Topic 4: Use Other Services for Machine Learning10%- Use SQL Server R Services
                                            - Work with Microsoft Cognitive Toolkit
                                            - Integrate with HDInsight
                                            - Leverage Cortana Intelligence Gallery

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