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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.
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:
- Move, transform, and analyze data using MapReduce
- Design and provision compute clusters
- Deploy con configure SSIS solutions
- Ingest data for real-time processing
- Implement master data management solutions
- Create and monitor a data factory
- Troubleshoot data integration issues
- Design for data security
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
Our 70-475 exam dumps will include those topics:
- Design big data batch processing and interactive solutions (30-35%)
- Operationalize end-to-end cloud analytics solutions (30-35%)
- Design big data real-time processing solutions (30-35%)
For more info visit: Microsoft Official 70-475 Exam Reference
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Microsoft 070-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Design Big Data Real-Time Processing Solutions | 25-30% | - Design for real-time processing - Design and provision compute resources - Design for Lambda architecture - Ingest data for real-time processing |
| Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Move, transform, and analyze data - Create and configure Azure Data Factory - Design deployment strategies - Monitor and manage data pipelines - Orchestrate data processing workflows |
| Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for data security - Design interactive queries for big data - Design and provision compute clusters - Ingest data for batch and interactive processing - Design for batch processing |
| Design Machine Learning Solutions | 25-30% | - Select input/output data types - Determine pre-processing and training locations - Create and manage experiments - Apply custom processing with R and Python - Publish machine learning web services |






