Microsoft Engineering Data with Microsoft Cloud Services - 070-776

Microsoft 070-776 test insides dumps
  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Jul 27, 2026
  • Q & A: 92 Questions and Answers
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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
  • Backup and Recovery Service Plan for Azure Storage
  • Cloud based integration using Azure Data Factory.
  • Provision Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics
  • Monitor Azure SQL Data Warehouse, Azure Data Lake, and Azure Stream Analytics
  • Azure Data Factory Pipelines.
  • Design Storage Solutions

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

Overview about MICROSOFT 70-776 Exam
  • Length of Examination: 120 minutes
  • Format: Multiple choice, multiple answer
  • Registration Fee: 165 USD
  • Passing Score: 70-80%
  • Number of Questions: 40-60

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

ActualPDF 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.

  • Azcopy
  • T-SQL/U-SQL
  • Azure Machine Learning
  • Azure Stream Analytics
  • Azure Storage
  • SQL Server Integration Services
  • Azure Data Lake
  • Azure Storage Explorer
  • Azure Backup Services
  • Azure Data Warehouse
  • Bulk Copy Program
  • Azure Data Factory Pipelines
  • Azure Data Factory
  • Azure Event Hubs
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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 Cloud-Based Integration by using Azure Data Factory: 15-20%
  • Design and Implement Complex Event Processing By Using Azure Stream Analytics: 15-20%
  • Design and Implement Azure SQL Data Warehouse Solutions: 15-20%
  • Design and Implement Analytics by Using Azure Data Lake: 25-30%
  • Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics: 20-25%
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Microsoft 070-776 Exam Syllabus Topics:
SectionObjectives
Topic 1: Deploy and Maintain Deliverables- Security and governance
  • 1. Row-level security (RLS)
    • 2. Data refresh and gateway configuration
      - Publish and manage reports
      • 1. Workspaces and app distribution
        • 2. Power BI Service publishing
          Topic 2: Prepare the Data- Clean, transform, and load data
          • 1. Data shaping and cleansing techniques
            • 2. Data type configuration and transformation
              - Get data from different sources
              • 1. Connect to data sources in Power BI Desktop
                • 2. Import and transform data using Power Query
                  Topic 3: 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
                          Topic 4: Model the Data- Create calculated columns and measures
                          • 1. Time intelligence functions
                            • 2. DAX basics for calculated fields
                              - Create data models
                              • 1. Star schema design principles
                                • 2. Define relationships between tables
                                  Topic 5: Visualize the Data- Create reports and dashboards
                                  • 1. Select appropriate visualizations
                                    • 2. Build interactive dashboards
                                      - Enhance report usability
                                      • 1. Custom visuals and formatting
                                        • 2. Filters, slicers, and drill-through

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