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

070-475 real exams

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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Our 70-475 exam dumps will include those topics:

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

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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:

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

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

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Microsoft 070-475 Exam Syllabus Topics:

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

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