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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
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 and provision compute clusters
- Move, transform, and analyze data using MapReduce
- Create and monitor a data factory
- Deploy con configure SSIS solutions
- Ingest data for real-time processing
- Design for data security
- Implement master data management solutions
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
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Microsoft 70-475日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Machine Learning Solutions | 25-30% | - Create and manage experiments - Determine pre-processing and training locations - Select input/output data types - Publish machine learning web services - Apply custom processing with R and Python |
| Topic 2: Design Big Data Real-Time Processing Solutions | 25-30% | - Design for Lambda architecture - Design and provision compute resources - Design for real-time processing - Ingest data for real-time processing |
| Topic 3: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Move, transform, and analyze data - Monitor and manage data pipelines - Create and configure Azure Data Factory - Design deployment strategies - Orchestrate data processing workflows |
| Topic 4: 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 - Design for data security - Ingest data for batch and interactive processing |
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