Learn with Microsoft : 070-774 training material for 100% pass

Updated: Sep 17, 2026

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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

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

Microsoft 070-774 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Perform Cloud Data Science with Azure Machine Learning
Exam Number:70-774
Exam Duration:120 minutes
Certificate Validity Period:Retired effective June 30, 2019
Exam Format:Scenario-based, Multiple choice, Drag and drop
Real Exam Qty:40-60
Passing Score:700 out of 1000
Exam Price:165 USD
Related Certifications:Azure Data Scientist Associate
70-773 Analyzing Big Data with Microsoft R
Available Languages:English
Recommended Training:Exam Ref 70-774 Book
Microsoft Azure ML Documentation
Exam Registration:Microsoft Learning Page
Pearson VUE Registration
Sample Questions:Microsoft 070-774 Sample Questions
Exam Way:Proctored onsite at Pearson VUE centers or online proctored
Pre Condition:No mandatory prerequisites; recommended knowledge of data science, Azure basics, and machine learning concepts
Official Syllabus URL:https://www.microsoft.com/en-us/learning/exam-70-774.aspx

Microsoft 070-774 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Operationalize and Manage Azure Machine Learning Services25%- 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
          - Deploy models as web services
          • 1. Configure endpoints and access
            • 2. Publish to Azure ML Studio
              Topic 2: Develop Machine Learning Models35%- Select appropriate algorithms
              • 1. Supervised learning methods
                • 2. Unsupervised learning methods
                  - Train and tune models
                  • 1. Split training and test sets
                    • 2. Configure parameters
                      - Validate and evaluate models
                      • 1. Perform cross-validation
                        • 2. Use accuracy, precision, recall, AUC
                          Topic 3: Use Other Services for Machine Learning10%- Integrate with HDInsight
                          - Leverage Cortana Intelligence Gallery
                          - Use SQL Server R Services
                          - Work with Microsoft Cognitive Toolkit
                          Topic 4: Prepare Data for Analysis in Azure Machine Learning30%- Perform feature engineering
                          • 1. Normalize and scale features
                            • 2. Create derived features
                              - Explore and summarize data
                              • 1. Generate statistical summaries
                                • 2. Visualize data distributions
                                  - Cleanse and transform data
                                  • 1. Remove duplicates and inconsistent entries
                                    • 2. Handle missing values and outliers
                                      - Import and export data
                                      • 1. Connect to Azure storage and databases
                                        • 2. Export results and datasets
                                          • 3. Import from files and external sources

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