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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:
- Troubleshoot data integration issues
- Design for data security
- Design and provision compute clusters
- Create and monitor a data factory
- Move, transform, and analyze data using MapReduce
- Implement master data management solutions
- Deploy con configure SSIS solutions
- Ingest data for real-time processing
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
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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
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.
Microsoft 070-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design Machine Learning Solutions | 25-30% | - Apply custom processing with R and Python - Select input/output data types - Publish machine learning web services - Create and manage experiments - Determine pre-processing and training locations |
| Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Move, transform, and analyze data - Monitor and manage data pipelines - Design deployment strategies - Orchestrate data processing workflows - Create and configure Azure Data Factory |
| Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design and provision compute clusters - Design interactive queries for big data - Design for data security - Design for batch processing - Ingest data for batch and interactive processing |
| Design Big Data Real-Time Processing Solutions | 25-30% | - Design for Lambda architecture - Ingest data for real-time processing - Design and provision compute resources - Design for real-time processing |
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