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Microsoft is one of the biggest names when it comes to technology and software development. They offer a range of certifications that are aimed at professionals who are looking to enhance their skillset and advance in their careers. One such certification is the Microsoft 070-475: Design and Implement Big Data Analytics Solutions Exam.

Microsoft 070-475 exam is designed for professionals who want to demonstrate their expertise in designing and implementing big data analytics solutions. 070-475J exam is a part of the Microsoft Certified Solutions Expert (MCSE) certification, which validates the candidate's ability to work with advanced analytics tools and technologies to manage and analyze big data.

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Microsoft 070-475, also known as the Design and Implement Big Data Analytics Solutions Certification Exam, is a certification test designed for individuals who are interested in building big data analytics solutions using Microsoft technologies. 070-475J exam is aimed at professionals who work with data systems, data warehousing, data analysis, and data integration.

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

Microsoft 070-475 certification exam is designed for professionals who want to prove their skills in designing and implementing big data analytics solutions. Design and Implement Big Data Analytics Solutions (070-475日本語版) certification exam is intended to measure a candidate's knowledge and competence in designing, implementing and maintaining big data analytics solutions using Microsoft Azure services. Passing the 070-475 exam proves that a candidate has the necessary skills to design and implement big data solutions that can process structured and unstructured data.

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Microsoft 070-475日本語 Exam Syllabus Topics:

SectionObjectives
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)
      Develop and optimize data pipelines- Performance tuning and scaling considerations
      - Data ingestion and transformation workflows
      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. Hadoop / HDInsight clusters
        • 2. Apache Spark processing
          - Stream processing implementation
          • 1. Azure Stream Analytics jobs
            • 2. Azure Event Hubs ingestion

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