PDF Version DemoOur 70-475 exam dumps will include those topics:
- Operationalize end-to-end cloud analytics solutions (30-35%)
- Design big data batch processing and interactive solutions (30-35%)
- Design big data real-time processing solutions (30-35%)
For more info visit: Microsoft Official 70-475 Exam Reference
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
High level topics covered by our practice test
This Web Simulator is for Microsoft data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions.
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IT-Tests.com Practice Exams for Microsoft Azure 070-475 are written to the highest standards of technical accuracy, using only certified subject matter experts and published authors for development.
70-475 - Designing and Implementing Big Data Analytics Solutions
The 70-475 exam is part of the Azure Big Data Analytics Solutions certification. This exam measures your ability to accomplish the below tasks based on this technology: Big Data Analytics Solutions Please note that this exam on February 2017 was updated.
This certification exam is targeted towards data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Candidates for this exam will have relevant work experience in big data analytics solutions designing and deployment strategy for an end-to-end solution, This is a list of covered topics:
- Deploy con configure SSIS solutions
- Troubleshoot data integration issues
- Design and provision compute clusters
- Create and monitor a data factory
- Design for data security
- Implement master data management solutions
- Move, transform, and analyze data using MapReduce
- Ingest data for real-time processing
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Microsoft Microsoft Azure 070-475 Design and Implement Big Data Analytics Solutions Exams
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Microsoft 070-475 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Secure and monitor big data solutions | - Data security and access control - Monitoring and troubleshooting data pipelines |
| Topic 2: Implement data processing solutions | - Stream processing implementation
|
| Topic 3: Design big data analytics solution | - Select appropriate big data architecture (batch vs streaming vs hybrid) - Design data storage strategy using Azure data services
|
| Topic 4: Develop and optimize data pipelines | - Data ingestion and transformation workflows - Performance tuning and scaling considerations |
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