Microsoft 70-774 dumps - in .pdf

70-774 pdf
  • Exam Code: 70-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 05, 2026
  • Q & A: 65 Questions and Answers
  • PDF Price: $49.99

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  • Exam Code: 70-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 05, 2026
  • Q & A: 65 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Microsoft 70-774 dumps - Testing Engine

70-774 Testing Engine
  • Exam Code: 70-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 05, 2026
  • Q & A: 65 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

About Microsoft 70-774 Exam Test Dumps

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  • Visit to Microsoft Exam Registration

Overview about Overview about MICROSOFT 70-774 Exam

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

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MICROSOFT 70-774 Exam certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into Data Scientist Professional. Get prepared to take this exam and become one of the very first Microsoft Azure Machine Learning Data Scientist Expert in the world by using our relevance quality of MICROSOFT 70-774 Exam study material and so we bring best-in-industry MICROSOFT 70-774 Exam online course and practice exams for you to help in your exam preparation.

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

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Microsoft 70-774 Exam Syllabus Topics:

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

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