Microsoft : 070-774 Questions & Answers

Last Updated: Aug 16, 2026

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ActualTorrent 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.

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

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

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Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage

  • Use Other Services for Machine Learning: 20-25%
  • Operationalize and Manage Azure Machine Learning Services: 20-25%
  • Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%
  • Develop Machine Learning Models: 20-25%

Microsoft 070-774 Exam Syllabus Topics:

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