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Overview about Overview about MICROSOFT 70-774 Exam

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

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

Microsoft 070-774 Exam Syllabus Topics:

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