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

070-475
  • Exam Code: 070-475
  • Exam Name: Design and Implement Big Data Analytics Solutions
  • Updated: Sep 14, 2026
  • Q & A: 122 Questions and Answers

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About Microsoft 070-475 Exam

Our 70-475 exam dumps will include those topics:

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

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:

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

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Microsoft 070-475 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Big Data Real-Time Processing Solutions25-30%- Ingest data for real-time processing
- Design for Lambda architecture
- Design for real-time processing
- Design and provision compute resources
Topic 2: Design Machine Learning Solutions25-30%- Apply custom processing with R and Python
- Publish machine learning web services
- Create and manage experiments
- Determine pre-processing and training locations
- Select input/output data types
Topic 3: Design Big Data Batch Processing and Interactive Solutions20-25%- Design for batch processing
- Design and provision compute clusters
- Design interactive queries for big data
- Design for data security
- Ingest data for batch and interactive processing
Topic 4: Operationalize End-to-End Cloud Analytics Solutions25-30%- Monitor and manage data pipelines
- Create and configure Azure Data Factory
- Move, transform, and analyze data
- Design deployment strategies
- Orchestrate data processing workflows

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