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Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps will include below mentioned topics with Exam focused percentage

  • Design and Implement Complex Event Processing By Using Azure Stream Analytics: 15-20%
  • Design and Implement Azure SQL Data Warehouse Solutions: 15-20%
  • Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics: 20-25%
  • Design and Implement Cloud-Based Integration by using Azure Data Factory: 15-20%
  • Design and Implement Analytics by Using Azure Data Lake: 25-30%

Reference: https://www.microsoft.com/en-us/learning/exam-70-776.aspx

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MICROSOFT 70-776 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 a Big Data and Analytics professional. Get prepared to take this exam and become one of the very first Microsoft Big Data Certified professionals in the world using our relevance quality of MICROSOFT 70-776 Exam study material and so we bring best-in-industry MICROSOFT 70-776 Exam online course and practice exams for you to help in your exam preparation.

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Perform Big Data Engineering on Microsoft Cloud Services 70-776 Exam

Perform Big Data Engineering on Microsoft Cloud Services 70-776 Exam is intended mainly to design analytical solutions and build operational solutions on Azure. Candidates for this exam have relevant work experience in data engineering issues with Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics. Candidates are familiar with the features and capabilities of batch data processing, real-time processing, and operationalization technologies.

Candidates for this exam can apply the Microsoft cloud ecosystem to designs and can implement big data analytics solutions to meet their project's needs. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Big Data Engineering on Microsoft Cloud Services 70-776 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 Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Exam Practice Test Paper and Dumps will provide you 100% confidence to make you appear for MICROSOFT 70-776 Exam.

This is the list of the contents in our Perform Big Data Engineering on Microsoft Cloud Services 70-776 Practice Test:

  • Design Storage Solutions
  • Monitor Azure SQL Data Warehouse, Azure Data Lake, and Azure Stream Analytics
  • Provision Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics
  • Backup and Recovery Service Plan for Azure Storage
  • migrate from an on-premises data warehouse to Azure SQL Data Warehouse
  • Cloud based integration using Azure Data Factory.
  • Azure Data Factory Pipelines.

Microsoft 070-776 Exam Syllabus Topics:

SectionObjectives
Topic 1: Model the Data- Create calculated columns and measures
  • 1. DAX basics for calculated fields
    • 2. Time intelligence functions
      - Create data models
      • 1. Star schema design principles
        • 2. Define relationships between tables
          Topic 2: Deploy and Maintain Deliverables- Security and governance
          • 1. Row-level security (RLS)
            • 2. Data refresh and gateway configuration
              - Publish and manage reports
              • 1. Power BI Service publishing
                • 2. Workspaces and app distribution
                  Topic 3: Prepare the Data- Get data from different sources
                  • 1. Connect to data sources in Power BI Desktop
                    • 2. Import and transform data using Power Query
                      - Clean, transform, and load data
                      • 1. Data shaping and cleansing techniques
                        • 2. Data type configuration and transformation
                          Topic 4: Visualize the Data- Create reports and dashboards
                          • 1. Build interactive dashboards
                            • 2. Select appropriate visualizations
                              - Enhance report usability
                              • 1. Filters, slicers, and drill-through
                                • 2. Custom visuals and formatting
                                  Topic 5: Analyze the Data- Perform data analysis
                                  • 1. Use AI visuals and insights
                                    • 2. Identify trends and patterns
                                      - Advanced analytics
                                      • 1. What-if parameters
                                        • 2. Statistical summarization techniques

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