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

70-475日本語

Exam Code: 70-475J

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

Updated: Jul 31, 2026

Q & A: 122 Questions and Answers

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About Microsoft 70-475日本語 Exam

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:

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

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

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

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Microsoft 70-475日本語 Exam Syllabus Topics:

SectionObjectives
Implement data processing solutions- Batch processing with distributed computing
  • 1. Apache Spark processing
    • 2. Hadoop / HDInsight clusters
      - Stream processing implementation
      • 1. Azure Stream Analytics jobs
        • 2. Azure Event Hubs ingestion
          Design big data analytics solution- Design data storage strategy using Azure data services
          • 1. Azure Data Lake Storage concepts
            • 2. Blob storage vs data lake considerations
              - Select appropriate big data architecture (batch vs streaming vs hybrid)
              Secure and monitor big data solutions- Monitoring and troubleshooting data pipelines
              - Data security and access control
              Develop and optimize data pipelines- Data ingestion and transformation workflows
              - Performance tuning and scaling considerations

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