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

Microsoft 070-774 test insides dumps
  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 26, 2026
  • Q & A: 65 Questions and Answers
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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: Develop Machine Learning Models35%- Train and tune models
  • 1. Configure parameters
    • 2. Split training and test sets
      - 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
              Topic 2: 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 3: Prepare Data for Analysis in Azure Machine Learning30%- Explore and summarize data
                          • 1. Visualize data distributions
                            • 2. Generate statistical summaries
                              - Cleanse and transform data
                              • 1. Handle missing values and outliers
                                • 2. Remove duplicates and inconsistent entries
                                  - Perform feature engineering
                                  • 1. Create derived features
                                    • 2. Normalize and scale features
                                      - Import and export data
                                      • 1. Import from files and external sources
                                        • 2. Export results and datasets
                                          • 3. Connect to Azure storage and databases
                                            Topic 4: Use Other Services for Machine Learning10%- Work with Microsoft Cognitive Toolkit
                                            - Leverage Cortana Intelligence Gallery
                                            - Use SQL Server R Services
                                            - Integrate with HDInsight

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