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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

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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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:

  • Design for data security
  • Implement master data management solutions
  • Ingest data for real-time processing
  • Create and monitor a data factory
  • Move, transform, and analyze data using MapReduce
  • Troubleshoot data integration issues
  • Deploy con configure SSIS solutions
  • Design and provision compute clusters

Microsoft 070-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design Big Data Batch Processing and Interactive Solutions20-25%- 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
Design Machine Learning Solutions25-30%- Create and manage experiments
- Determine pre-processing and training locations
- Publish machine learning web services
- Select input/output data types
- Apply custom processing with R and Python
Design Big Data Real-Time Processing Solutions25-30%- Design for Lambda architecture
- Design for real-time processing
- Design and provision compute resources
- Ingest data for real-time processing
Operationalize End-to-End Cloud Analytics Solutions25-30%- Create and configure Azure Data Factory
- Design deployment strategies
- Orchestrate data processing workflows
- Monitor and manage data pipelines
- Move, transform, and analyze data

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