Microsoft Design and Implement Big Data Analytics Solutions : 070-475

  • Exam Code: 070-475
  • Exam Name: Design and Implement Big Data Analytics Solutions
  • Updated: Aug 18, 2026
  • Q & A: 122 Questions and Answers

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About Microsoft 070-475 Exam

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:

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

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

High level topics covered by our practice test

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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Microsoft 070-475 Exam Syllabus Topics:

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

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