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 07, 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 07, 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 for data security
  • Troubleshoot data integration issues
  • Design and provision compute clusters
  • Deploy con configure SSIS solutions
  • Implement master data management solutions
  • Ingest data for real-time processing
  • Create and monitor a data factory
  • Move, transform, and analyze data using MapReduce

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

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Free Download 70-475日本語 Actual tests

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

Microsoft 70-475日本語 Exam Syllabus Topics:

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

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