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

  • Exam Code: 70-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 08, 2026
  • Q&As: 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

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

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

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

VCEPrep 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.

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

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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

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

Microsoft 70-774 Exam Syllabus Topics:

SectionWeightObjectives
Use Other Services for Machine Learning10%- Work with Microsoft Cognitive Toolkit
- Use SQL Server R Services
- Integrate with HDInsight
- Leverage Cortana Intelligence Gallery
Develop Machine Learning Models35%- Validate and evaluate models
  • 1. Use accuracy, precision, recall, AUC
    • 2. Perform cross-validation
      - Train and tune models
      • 1. Split training and test sets
        • 2. Configure parameters
          - Select appropriate algorithms
          • 1. Unsupervised learning methods
            • 2. Supervised learning methods
              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
                          Prepare Data for Analysis in Azure Machine Learning30%- Perform feature engineering
                          • 1. Normalize and scale features
                            • 2. Create derived features
                              - Import and export data
                              • 1. Export results and datasets
                                • 2. Import from files and external sources
                                  • 3. Connect to Azure storage and databases
                                    - 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

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