Microsoft 070-776 Q&A - in .pdf

  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Sep 16, 2026
  • Q & A: 92 Questions and Answers
  • PDF Price: $59.99
  • Printable Microsoft 070-776 PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft 070-776 Q&A - Testing Engine

  • Exam Code: 070-776
  • Exam Name: Engineering Data with Microsoft Cloud Services
  • Updated: Sep 16, 2026
  • Q & A: 92 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
  • PC Test Engine Price: $59.99
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About Microsoft Engineering Data with Microsoft Cloud Services - 070-776 Exam Actual Tests

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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.

Overview about MICROSOFT 70-776 Exam

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

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:

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

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070-776 exam dumps

Precise predication of the real exam

Now, the test syllabus of the Microsoft 070-776 exam is changing every year. More and more people choose to prepare the exam to improve their ability. So the 070-776 exam becomes more difficult than before. For our experts, they are capable of seizing the tendency of the real exam. The questions and answers of our 070-776 guide materials: Engineering Data with Microsoft Cloud Services will change every year according to the examination outlines. New questions will be added into the study materials, unnecessary questions will be deleted from the 070-776 exam simulation. Our new compilation will make sure that you can have the greatest chance to pass the exam. If you compare our 070-776 training engine with the real exam, you will find that our study materials are highly similar to the real exam questions. So you just need to memorize our questions and answers of the 070-776 exam simulation, you are bound to pass the exam.

How to book MICROSOFT 70-776 Certifications Exam?

  • Select Date and Center of examination and confirm with payment value of 165$
  • Search for MICROSOFT 70-776 Certifications Exam
  • Signup/Login to MICROSOFT account
  • Visit to Microsoft Exam Registration

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

Microsoft 070-776 Exam Syllabus Topics:

SectionWeightObjectives
Design and Implement Complex Event Processing by Using Azure Stream Analytics15-20%- Query real-time data
  • 1. Guarantee event delivery
  • 2. Use Stream Analytics query language
  • 3. Use built-in functions and data types
  • 4. Manage time windows
- Ingest data for real-time processing
  • 1. Design partitioning schemes
  • 2. Select appropriate ingestion technologies
  • 3. Design reference data streams
  • 4. Process streaming data sources
  • 5. Estimate throughput and latency requirements
- Implement and manage streaming pipelines
  • 1. Archive streaming data
  • 2. Coordinate stream and batch processing
  • 3. Stream data to dashboards
- Design and implement Azure Stream Analytics
  • 1. Implement scoring models
  • 2. Support continuous learning scenarios
  • 3. Configure thresholds and alerts
  • 4. Integrate Azure Machine Learning
Design and Implement Cloud-Based Integration by Using Azure Data Factory15-20%- Implement datasets and linked services
  • 1. Configure linked services
  • 2. Implement availability and policies
  • 3. Create datasets
- Move, transform, and analyze data
  • 1. Extend processing with custom activities
  • 2. Move data to and from SQL Data Warehouse
  • 3. Copy data between environments
  • 4. Create activity types
- Monitor and manage Azure Data Factory
  • 1. Use monitoring tools
  • 2. Create alerts
  • 3. Identify failures
  • 4. Perform redeployments
- Orchestrate data processing pipelines
  • 1. Provision and run pipelines
  • 2. Design schedules
  • 3. Manage dependencies
  • 4. Design end-to-end data flows
Design and Implement Azure SQL Data Warehouse Solutions15-20%- Integrate Azure SQL Data Warehouse with other services
  • 1. Migrate enterprise data warehouses
  • 2. Use PolyBase and data ingestion tools
  • 3. Integrate with Azure Machine Learning
  • 4. Import and export data
- Design tables in Azure SQL Data Warehouse
  • 1. Design columnstore indexes
  • 2. Select distribution methods
  • 3. Minimize data skew
  • 4. Design table geometry
- Query data in Azure SQL Data Warehouse
  • 1. Manage resource classes
  • 2. Manage statistics
  • 3. Monitor query performance
  • 4. Implement query labels
Manage and Maintain Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics20-25%- Provision Azure services
  • 1. Deploy Azure SQL Data Warehouse
  • 2. Deploy Azure Data Factory
  • 3. Deploy Azure Stream Analytics
  • 4. Deploy Azure Data Lake
- Implement authentication, authorization, and auditing
  • 1. Integrate with Azure Active Directory
  • 2. Secure integrated services
  • 3. Implement auditing
  • 4. Configure firewalls
- Manage data recovery
  • 1. Implement geo-redundancy
  • 2. Backup and recovery
  • 3. Support migration scenarios
- Design storage solutions for big data
  • 1. Select storage technologies
  • 2. Integrate cloud and on-premises solutions
  • 3. Migrate data
  • 4. Optimize storage performance
- Monitor and optimize services
  • 1. Implement elastic scaling
  • 2. Troubleshoot performance
  • 3. Manage concurrency
  • 4. Monitor workloads
Design and Implement Analytics by Using Azure Data Lake25-30%- Extract and transform data using U-SQL
  • 1. Generate output files
  • 2. Manage catalogs and structured data
  • 3. Perform joins and analytical operations
  • 4. Use U-SQL data types and expressions
- Integrate Azure Data Lake with other services
  • 1. Integrate with Azure Data Factory
  • 2. Integrate with HDInsight
  • 3. Integrate with Data Catalog and Event Hubs
  • 4. Connect with Azure SQL Data Warehouse
- Manage Azure Data Lake Analytics
  • 1. Create and manage analytics accounts
  • 2. Manage users and data sources
  • 3. Monitor and troubleshoot jobs
  • 4. Optimize jobs and review historical execution
- Ingest data into Azure Data Lake Store
  • 1. Create and configure Data Lake Store accounts
  • 2. Copy and secure data
  • 3. Tune performance and diagnostics
  • 4. Implement authentication and access control
- Extend U-SQL programmability
  • 1. Implement user-defined functions and operators
  • 2. Perform federated queries
  • 3. Share code and data assets
  • 4. Integrate Python and R

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