Microsoft 70-475J exam dumps : Design and Implement Big Data Analytics Solutions (70-475日本語版)

  • Exam Code: 70-475J
  • Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
  • Updated: Jul 25, 2026     Q & A: 122 Questions and Answers

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About Microsoft 70-475日本語 Exam

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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Microsoft 70-475日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Orchestrate data processing activities in a data-driven workflow
Topic 2
  • Design a deployme
Topic 3
  • Design for data security
Topic 4
  • Design and provision compute clusters
Topic 5
  • Design for batch processing
Topic 6
  • Design for real-time processing

Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx

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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.

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

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