070-774 exam dumps

Microsoft 070-774 Value Package

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  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • No. of Questions: 65 Questions and Answers
  • Updated: Jul 23, 2026

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How to book MICROSOFT 70-774 Certifications Exam?

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

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MICROSOFT 70-774 Exam Reference, Microsoft Documents

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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes

ExamBoosts expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Cloud Data Science with Azure Machine Learning 70-774 Dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

  • SQL/T-SQL
  • Machine Learning Projects and workspace
  • Azure Machine Learning.
  • Microsoft R Servers.
  • HDinsights
  • Python Languages.
  • Cognitive Services/API
  • Algorithms for grouping unlabeled Data.
  • Data Science
  • Machine Learning models

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

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Microsoft 070-774 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop machine learning models- Select and implement algorithms
  • 1. Unsupervised learning models
    • 2. Supervised learning models
      - Training models in Azure Machine Learning
      • 1. Use Azure ML Studio experiments
        • 2. Train models using Python or R scripts
          Topic 2: Prepare and process data for Azure Machine Learning- Data ingestion and storage
          • 1. Connect to Azure storage services
            • 2. Import data into Azure Machine Learning datasets
              - Data preparation and transformation
              • 1. Clean missing or inconsistent data
                • 2. Transform features for modeling
                  Topic 3: Deploy and manage models- Operationalization
                  • 1. Monitor deployed models
                    • 2. Update and retrain models
                      - Model deployment in Azure
                      • 1. Deploy to Azure web services
                        • 2. Batch inference pipelines
                          Topic 4: Evaluate and optimize models- Model evaluation techniques
                          • 1. ROC and AUC analysis
                            • 2. Accuracy, precision, recall, F1 score
                              - Model tuning and improvement
                              • 1. Hyperparameter tuning
                                • 2. Feature selection and engineering

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