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

70-475日本語 Exam Questions
  • Exam Code: 70-475J
  • Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
  • Updated: Sep 17, 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:

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

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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.

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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

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

Microsoft 70-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Select appropriate Azure big data services
  • 2. Design data storage strategies
  • 3. Design batch processing solutions
  • 4. Design real-time analytics solutions
Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Process data with Hadoop ecosystem tools
  • 2. Develop data transformation workflows
  • 3. Implement HDInsight solutions
  • 4. Implement Spark-based analytics
Manage Security and Operations10%- Administration
  • 1. Monitor big data workloads
  • 2. Manage operational processes
  • 3. Implement security controls
  • 4. Optimize performance and scalability
Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Create analytical reports
  • 2. Integrate analytics outputs with reporting platforms
  • 3. Implement dashboards and visualizations
Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Integrate on-premises and cloud data sources
  • 2. Implement Azure Data Factory pipelines
  • 3. Implement Event Hubs ingestion
  • 4. Implement streaming data collection

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