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  • Exam Code: 070-475日本語
  • Exam Name: Design and Implement Big Data Analytics Solutions (070-475日本語版)
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  • Q & A: 122 Questions and Answers
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  • Exam Code: 070-475日本語
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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:

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

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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Microsoft 070-475日本語 Exam Syllabus Topics:

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

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

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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%)

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