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

70-475日本語 real exams

Exam Code: 70-475J

Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)

Updated: Sep 11, 2026

Q & A: 122 Questions and Answers

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

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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

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

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