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Last Updated: Sep 17, 2026

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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.

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

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

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

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

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

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

itPass4sure 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.

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

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Microsoft 70-774 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Develop Machine Learning Models35%- Select appropriate algorithms
  • 1. Supervised learning methods
    • 2. Unsupervised learning methods
      - 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
              Topic 2: Use Other Services for Machine Learning10%- Use SQL Server R Services
              - Integrate with HDInsight
              - Leverage Cortana Intelligence Gallery
              - Work with Microsoft Cognitive Toolkit
              Topic 3: Prepare Data for Analysis in Azure Machine Learning30%- Perform feature engineering
              • 1. Normalize and scale features
                • 2. Create derived features
                  - Cleanse and transform data
                  • 1. Remove duplicates and inconsistent entries
                    • 2. Handle missing values and outliers
                      - Explore and summarize data
                      • 1. Visualize data distributions
                        • 2. Generate statistical summaries
                          - Import and export data
                          • 1. Export results and datasets
                            • 2. Import from files and external sources
                              • 3. Connect to Azure storage and databases
                                Topic 4: 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. Publish to Azure ML Studio
                                      • 2. Configure endpoints and access
                                        - Consume models and APIs
                                        • 1. Call deployed web services
                                          • 2. Use Cognitive Services APIs
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