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The Microsoft 070-475J exam covers a range of topics, including designing big data batch processing solutions, designing big data real-time processing solutions, designing machine learning solutions, and designing big data storage solutions. Candidates also need to have knowledge of various tools and technologies used for big data analytics, including Hadoop, Spark, and Azure Data Lake. Passing the Microsoft 070-475 exam demonstrates that a candidate has the skills and knowledge required to design and implement big data solutions that are scalable, reliable, and efficient.

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Microsoft 070-475 exam consists of questions that test the candidate's ability to develop big data solutions that enable data scientists to derive insights in real-time. It also covers concepts like the development of batch processing solutions, data storage, data analysis, and data visualization. Individuals who pass 070-475J exam become Microsoft Certified Professionals in designing and implementing big data analytics solutions, which can give them a considerable advantage in the job market.

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

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Microsoft 070-475日本語 Exam Syllabus Topics:

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

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