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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.
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
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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:
- Design for data security
- Move, transform, and analyze data using MapReduce
- Design and provision compute clusters
- Implement master data management solutions
- Create and monitor a data factory
- Ingest data for real-time processing
- Deploy con configure SSIS solutions
- Troubleshoot data integration issues
Our 70-475 exam dumps will include those topics:
- Operationalize end-to-end cloud analytics solutions (30-35%)
- Design big data real-time processing solutions (30-35%)
- Design big data batch processing and interactive solutions (30-35%)
For more info visit: Microsoft Official 70-475 Exam Reference
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Microsoft 070-475 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement data processing solutions | - Batch processing with distributed computing
|
| Topic 2: Secure and monitor big data solutions | - Monitoring and troubleshooting data pipelines - Data security and access control |
| Topic 3: Design big data analytics solution | - 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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