Microsoft 70-475日本語 real exam prep : 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: Aug 08, 2026
  • Q&As: 122 Questions and Answers

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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.

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

Our 70-475 exam dumps will include those topics:

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

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Microsoft 70-475日本語 Exam Syllabus Topics:

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

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