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

  • Exam Code: 070-475
  • Exam Name: Design and Implement Big Data Analytics Solutions
  • Updated: Aug 05, 2026
  • Q & A: 122 Questions and Answers

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About Microsoft 070-475 Exam Questions

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
  • Move, transform, and analyze data using MapReduce
  • Design and provision compute clusters
  • Deploy con configure SSIS solutions
  • Create and monitor a data factory
  • Implement master data management solutions

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

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.

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

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Microsoft 070-475 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Design batch processing solutions
  • 2. Design data storage strategies
  • 3. Design real-time analytics solutions
  • 4. Select appropriate Azure big data services
Topic 2: Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Implement dashboards and visualizations
  • 2. Integrate analytics outputs with reporting platforms
  • 3. Create analytical reports
Topic 3: Manage Security and Operations10%- Administration
  • 1. Implement security controls
  • 2. Monitor big data workloads
  • 3. Manage operational processes
  • 4. Optimize performance and scalability
Topic 4: Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Implement Event Hubs ingestion
  • 2. Integrate on-premises and cloud data sources
  • 3. Implement Azure Data Factory pipelines
  • 4. Implement streaming data collection
Topic 5: 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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