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Microsoft MCSA-Machine Learning 070-774

070-774

Exam Code: 070-774

Exam Name: Perform Cloud Data Science with Azure Machine Learning

Updated: Aug 18, 2026

Q&A Number: 65 Q&As

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About Microsoft 070-774 Exam Braindumps

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070-774 exam dumps

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
  • Cleanse data for Azure Machine Learning
  • Azure Machine Learning models
  • Explore and summarize data
  • Import and Export Data to and from ML.
  • Validate models

Overview about Overview about MICROSOFT 70-774 Exam

  • Format: Multiple choice, multiple answer
  • Length of Examination: 120 minutes
  • Registration Fee: 165 USD
  • Passing Score: 70-80%
  • Number of Questions: 40-60

Difficulty in writing MICROSOFT 70-774 Exam

It is one of the toughest exam and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Data analytics on Microsoft. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data, Machine Learning, Data Science, Data Analytics.

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

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

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

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Microsoft 070-774 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. Use accuracy, precision, recall, AUC
        • 2. Perform cross-validation
          - Train and tune models
          • 1. Split training and test sets
            • 2. Configure parameters
              Topic 2: 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. Generate statistical summaries
                        • 2. Visualize data distributions
                          - Import and export data
                          • 1. Connect to Azure storage and databases
                            • 2. Export results and datasets
                              • 3. Import from files and external sources
                                Topic 3: Use Other Services for Machine Learning10%- Use SQL Server R Services
                                - Integrate with HDInsight
                                - Work with Microsoft Cognitive Toolkit
                                - Leverage Cortana Intelligence Gallery
                                Topic 4: 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. Use Cognitive Services APIs
                                      • 2. Call deployed web services
                                        - Manage workspaces and experiments
                                        • 1. Share and collaborate
                                          • 2. Create and organize projects

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