Microsoft 070-774 valid - in .pdf

070-774 pdf
  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 06, 2026
  • Q & A: 65 Questions and Answers
  • PDF Price: $49.99
  • Free Demo

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  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Q & A: 65 Questions and Answers
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Microsoft 070-774 valid - Testing Engine

070-774 Testing Engine
  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Q & A: 65 Questions and Answers
  • Software Price: $49.99
  • Testing Engine

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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

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

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How to book MICROSOFT 70-774 Certifications Exam?

  • Search for MICROSOFT 70-774 Certifications Exam
  • Signup/Login to MICROSOFT account
  • Select Date and Center of examination and confirm with payment value of 165$
  • Visit to Microsoft Exam Registration

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

Overview about Overview about MICROSOFT 70-774 Exam

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

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Microsoft 070-774 Exam Syllabus Topics:

SectionWeightObjectives
Operationalize and Manage Azure Machine Learning Services25%- Consume models and APIs
  • 1. Use Cognitive Services APIs
    • 2. Call deployed web services
      - Manage workspaces and experiments
      • 1. Create and organize projects
        • 2. Share and collaborate
          - Deploy models as web services
          • 1. Configure endpoints and access
            • 2. Publish to Azure ML Studio
              Prepare Data for Analysis in Azure Machine Learning30%- 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
                      - Perform feature engineering
                      • 1. Create derived features
                        • 2. Normalize and scale features
                          - Import and export data
                          • 1. Export results and datasets
                            • 2. Connect to Azure storage and databases
                              • 3. Import from files and external sources
                                Develop Machine Learning Models35%- Train and tune models
                                • 1. Configure parameters
                                  • 2. Split training and test sets
                                    - 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
                                            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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