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Microsoft 070-774 valid - in .pdf

070-774 pdf
  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Q & A: 65 Questions and Answers
  • PDF Price: $49.99
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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
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Overview about Overview about MICROSOFT 70-774 Exam

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

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MICROSOFT 70-774 Exam certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into Data Scientist Professional. Get prepared to take this exam and become one of the very first Microsoft Azure Machine Learning Data Scientist Expert in the world by using our relevance quality of MICROSOFT 70-774 Exam study material and so we bring best-in-industry MICROSOFT 70-774 Exam online course and practice exams for you to help in your exam preparation.

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

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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

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

Microsoft 070-774 Exam Syllabus Topics:

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

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