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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:
- Ingest data for real-time processing
- Implement master data management solutions
- Deploy con configure SSIS solutions
- Design for data security
- Design and provision compute clusters
- Create and monitor a data factory
- Troubleshoot data integration issues
- Move, transform, and analyze data using MapReduce
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.
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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 batch processing and interactive solutions (30-35%)
- Design big data real-time processing 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
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Microsoft 070-475日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Machine Learning Solutions | 25-30% | - Create and manage experiments - Apply custom processing with R and Python - Determine pre-processing and training locations - Publish machine learning web services - Select input/output data types |
| Topic 2: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for batch processing - Design interactive queries for big data - Ingest data for batch and interactive processing - Design and provision compute clusters - Design for data security |
| Topic 3: Design Big Data Real-Time Processing Solutions | 25-30% | - Ingest data for real-time processing - Design for real-time processing - Design for Lambda architecture - Design and provision compute resources |
| Topic 4: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Orchestrate data processing workflows - Monitor and manage data pipelines - Move, transform, and analyze data - Design deployment strategies - Create and configure Azure Data Factory |
