Microsoft 070-776 dumps - in .pdf

070-776 pdf
  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Sep 10, 2026
  • Q & A: 92 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Sep 10, 2026
  • Q & A: 92 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft 070-776 dumps - Testing Engine

070-776 Testing Engine
  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Sep 10, 2026
  • Q & A: 92 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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How to book MICROSOFT 70-776 Certifications Exam?

  • Search for MICROSOFT 70-776 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

Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps Provided Study Notes

TestPassKing expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Big Data Engineering on Microsoft Cloud Services (beta) 70-776 Dumps which been written by our expert team.

Both these will help you a lot to clear this exam with good marks.

  • Azure Data Factory
  • Azure Machine Learning
  • SQL Server Integration Services
  • Azure Data Factory Pipelines
  • Azure Event Hubs
  • Azure Data Lake
  • Azure Backup Services
  • Bulk Copy Program
  • Azure Storage
  • Azure Stream Analytics
  • Azcopy
  • Azure Storage Explorer
  • Azure Data Warehouse
  • T-SQL/U-SQL

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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:

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

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

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Microsoft 070-776 Exam Syllabus Topics:

SectionObjectives
Prepare the Data- Get data from different sources
  • 1. Import and transform data using Power Query
    • 2. Connect to data sources in Power BI Desktop
      - Clean, transform, and load data
      • 1. Data shaping and cleansing techniques
        • 2. Data type configuration and transformation
          Deploy and Maintain Deliverables- Publish and manage reports
          • 1. Power BI Service publishing
            • 2. Workspaces and app distribution
              - Security and governance
              • 1. Data refresh and gateway configuration
                • 2. Row-level security (RLS)
                  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
                          Analyze the Data- Advanced analytics
                          • 1. Statistical summarization techniques
                            • 2. What-if parameters
                              - Perform data analysis
                              • 1. Identify trends and patterns
                                • 2. Use AI visuals and insights
                                  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

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