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