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

  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Aug 23, 2026
  • Q & A: 65 Questions and Answers

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About Microsoft 070-774 Exam

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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.

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

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

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%
  • Develop Machine Learning Models: 20-25%
  • Use Other Services for Machine Learning: 20-25%
  • Operationalize and Manage Azure Machine Learning Services: 20-25%

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For more info visit:

MICROSOFT 70-774 Exam Reference, Microsoft Documents

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070-774 exam dumps

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Microsoft 070-774 Exam Syllabus Topics:

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

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