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