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

070-774 actual test
  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Nov 01, 2026
  • Q & A: 65 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $49.99  

About Microsoft 070-774 Exam Actual Tests

Benefits of having MICROSOFT 70-774 Certifications

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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How to book MICROSOFT 70-774 Certifications Exam?

  • Signup/Login to MICROSOFT account
  • Visit to Microsoft Exam Registration
  • Search for MICROSOFT 70-774 Certifications Exam
  • Select Date and Center of examination and confirm with payment value of 165$

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Overview about Overview about MICROSOFT 70-774 Exam

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

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MICROSOFT 70-774 Exam Reference, Microsoft Documents

Microsoft 070-774 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Operationalize and Manage Azure Machine Learning Services25%- Consume models and APIs
  • 1. Use Cognitive Services APIs
    • 2. Call deployed web services
      - Manage workspaces and experiments
      • 1. Share and collaborate
        • 2. Create and organize projects
          - Deploy models as web services
          • 1. Configure endpoints and access
            • 2. Publish to Azure ML Studio
              Topic 2: Use Other Services for Machine Learning10%- Leverage Cortana Intelligence Gallery
              - Use SQL Server R Services
              - Integrate with HDInsight
              - Work with Microsoft Cognitive Toolkit
              Topic 3: Prepare Data for Analysis in Azure Machine Learning30%- Import and export data
              • 1. Export results and datasets
                • 2. Import from files and external sources
                  • 3. Connect to Azure storage and databases
                    - Perform feature engineering
                    • 1. Create derived features
                      • 2. Normalize and scale features
                        - Explore and summarize data
                        • 1. Generate statistical summaries
                          • 2. Visualize data distributions
                            - Cleanse and transform data
                            • 1. Remove duplicates and inconsistent entries
                              • 2. Handle missing values and outliers
                                Topic 4: Develop Machine Learning Models35%- Train and tune models
                                • 1. Split training and test sets
                                  • 2. Configure parameters
                                    - 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

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