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Microsoft Azure 070-475日本語

070-475日本語

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 Number: 122 Q&As

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070-475日本語 exam dumps

Our 70-475 exam dumps will include those topics:

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

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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:

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

Microsoft 070-475日本語 Exam Syllabus Topics:

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

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