Microsoft 70-475日本語 Q&A - in .pdf

  • Exam Code: 70-475日本語
  • Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
  • Updated: Sep 02, 2026
  • Q & A: 122 Questions and Answers
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  • Exam Code: 70-475日本語
  • Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
  • Updated: Sep 02, 2026
  • Q & A: 122 Questions and Answers
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Our 70-475 exam dumps will include those topics:

  • Design big data real-time processing solutions (30-35%)
  • Operationalize end-to-end cloud analytics solutions (30-35%)
  • Design big data batch processing and interactive solutions (30-35%)

For more info visit: Microsoft Official 70-475 Exam Reference

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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:

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

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Microsoft 70-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: Design Machine Learning Solutions25-30%- Create and manage experiments
- Determine pre-processing and training locations
- Select input/output data types
- Apply custom processing with R and Python
- Publish machine learning web services
Topic 3: Design Big Data Batch Processing and Interactive Solutions20-25%- Design for batch processing
- Design for data security
- Design interactive queries for big data
- Ingest data for batch and interactive processing
- Design and provision compute clusters
Topic 4: Operationalize End-to-End Cloud Analytics Solutions25-30%- Design deployment strategies
- Create and configure Azure Data Factory
- Monitor and manage data pipelines
- Orchestrate data processing workflows
- Move, transform, and analyze data

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