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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.
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:
- Deploy con configure SSIS solutions
- Ingest data for real-time processing
- Implement master data management solutions
- Design and provision compute clusters
- Move, transform, and analyze data using MapReduce
- Create and monitor a data factory
- Design for data security
- Troubleshoot data integration issues
Microsoft 70-475日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Big Data Real-Time Processing Solutions | 25-30% | - Design and provision compute resources - Design for real-time processing - Ingest data for real-time processing - Design for Lambda architecture |
| Topic 2: Design Machine Learning Solutions | 25-30% | - Select input/output data types - Apply custom processing with R and Python - Publish machine learning web services - Determine pre-processing and training locations - Create and manage experiments |
| Topic 3: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Monitor and manage data pipelines - Orchestrate data processing workflows - Create and configure Azure Data Factory - Design deployment strategies - Move, transform, and analyze data |
| Topic 4: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for data security - Design for batch processing - Design and provision compute clusters - Design interactive queries for big data - Ingest data for batch and interactive processing |
