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Exam Code: 070-475
Exam Name: Design and Implement Big Data Analytics Solutions
Updated: Jul 25, 2026
Q & A: 122 Questions and Answers
070-475 Free Demo download
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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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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:
For more info visit: Microsoft Official 70-475 Exam Reference
| Section | Weight | Objectives |
|---|---|---|
| Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Monitor and manage data pipelines - Create and configure Azure Data Factory - Orchestrate data processing workflows - Move, transform, and analyze data - Design deployment strategies |
| Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design and provision compute clusters - Design interactive queries for big data - Ingest data for batch and interactive processing - Design for batch processing - Design for data security |
| Design Big Data Real-Time Processing Solutions | 25-30% | - Design for Lambda architecture - Design for real-time processing - Design and provision compute resources - Ingest data for real-time processing |
| Design Machine Learning Solutions | 25-30% | - Publish machine learning web services - Create and manage experiments - Determine pre-processing and training locations - Select input/output data types - Apply custom processing with R and Python |
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