Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) : 070-475日本語 Exam

  • Exam Code: 070-475J
  • Exam Name: Design and Implement Big Data Analytics Solutions (070-475日本語版)
  • Updated: Aug 07, 2026
  • Q & A: 122 Questions and Answers

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Free Download real 070-475日本語 actual tests

Our 70-475 exam dumps will include those topics:

  • Design big data batch processing and interactive solutions (30-35%)
  • Design big data real-time processing solutions (30-35%)
  • Operationalize end-to-end cloud analytics solutions (30-35%)

For more info visit: Microsoft Official 70-475 Exam Reference

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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:

  • Ingest data for real-time processing
  • Design for data security
  • Troubleshoot data integration issues
  • Design and provision compute clusters
  • Deploy con configure SSIS solutions
  • Implement master data management solutions
  • 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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Microsoft 070-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Implement dashboards and visualizations
  • 2. Create analytical reports
  • 3. Integrate analytics outputs with reporting platforms
Topic 2: Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Develop data transformation workflows
  • 2. Process data with Hadoop ecosystem tools
  • 3. Implement Spark-based analytics
  • 4. Implement HDInsight solutions
Topic 3: 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
Topic 4: Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Implement streaming data collection
  • 2. Integrate on-premises and cloud data sources
  • 3. Implement Azure Data Factory pipelines
  • 4. Implement Event Hubs ingestion
Topic 5: Manage Security and Operations10%- Administration
  • 1. Optimize performance and scalability
  • 2. Implement security controls
  • 3. Monitor big data workloads
  • 4. Manage operational processes

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