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

  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Aug 28, 2026     Q & A: 65 Questions and Answers

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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

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

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

Dumps4PDF 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.

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

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

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Microsoft 070-774 Exam Syllabus Topics:

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

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