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Microsoft 70-774 real answers - Perform Cloud Data Science with Azure Machine Learning

70-774
  • Exam Code: 70-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Aug 30, 2026
  • Q & A: 65 Questions and Answers
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Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage

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

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

Perform Cloud Data Science with Azure Machine Learning 70-774 Exam

Perform Cloud Data Science with Azure Machine Learning 70-774 Exam is centered around Azure Machine Learning, Bot Framework, and Cognitive Services. The exam is designed to target candidates who are Data Scientists or Analysts using the Microsoft Azure cloud services to build and deploy intelligent solutions. This exam will test your understanding and familiarity with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation. Machine Learning is one of the hottest topics and technologies in the industry right now.

Machine Learning is being used to combine with Big Data to automate the processes of gaining insights and predicting future behavior of systems, devices, and people. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Cloud Data Science with Azure Machine Learning Microsoft 70-774 Exam. This exam only available for the candidates till 30th June 2019 after that this may get replace with some other exam so you can plan get it completed before it get expire.

We think our Perform Cloud Data Science with Azure Machine Learning 70-774 Exam Practice Test Paper and Dumps will provide you 100% confidence to make you appear for Microsoft 70-774 Exam

This is the list of the contents in our Perform Cloud Data Science with Azure Machine Learning 70-774

  • Perform data sciences at scale by using HD Insights
  • Explore and summarize data
  • Import and Export Data to and from ML.
  • Azure Machine Learning models
  • Cleanse data for Azure Machine Learning
  • Validate models

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Microsoft 70-774 Exam Syllabus Topics:

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

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