Microsoft 070-776 : Engineering Data with Microsoft Cloud Services

Exam Code: 070-776

Exam Name: Engineering Data with Microsoft Cloud Services

Updated: Aug 08, 2026

Q & A: 92 Questions and Answers

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About Microsoft 070-776 Exam

Benefits of having MICROSOFT 70-776 Certifications

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:

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

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Difficulty in writing MICROSOFT 70-776 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 Big 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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For more info visit:

MICROSOFT 70-776 Exam Reference, Microsoft Documents

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

Microsoft 070-776 Exam Syllabus Topics:

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

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