Exam Name: Design and Implement Big Data Analytics Solutions
Certification Provider: Microsoft
Corresponding Certification: Microsoft Azure
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Microsoft : 070-475 Exam Premium Dumps
Check Updated on: Oct 13, 2026
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The Microsoft 070-475 exam focuses on a variety of topics, such as designing and implementing big data solutions using Azure technologies, managing and processing big data, designing and implementing big data storage solutions, and designing and implementing big data processing systems. Design and Implement Big Data Analytics Solutions certification demonstrates that the candidate has the expertise and knowledge required to implement, configure, and manage big data solutions using Microsoft technologies.
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Microsoft 070-475 is a certification exam that is designed to assess an individual’s ability to design and implement big data analytics solutions. 070-475 exam is intended for IT professionals who are responsible for designing and implementing big data solutions using Microsoft technologies. 070-475 exam is part of the Microsoft Certified Solutions Expert (MCSE) certification program, and passing 070-475 exam will help you earn the MCSE: Data Management and Analytics certification.
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
Microsoft 070-475 Certification Exam is a valuable credential for professionals who want to specialize in Big Data Analytics. 070-475 exam is aimed at IT professionals who are responsible for designing, implementing, and maintaining Big Data solutions using Microsoft Azure. Design and Implement Big Data Analytics Solutions certification exam tests candidates' knowledge of concepts such as data ingestion, transforming and storing big data, and processing and analyzing big data using Microsoft Azure technologies.
Microsoft 070-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Machine Learning Solutions | 25-30% | - Apply custom processing with R and Python - Create and manage experiments - Determine pre-processing and training locations - Publish machine learning web services - Select input/output data types |
| Topic 2: Design Big Data Real-Time Processing Solutions | 25-30% | - Design for real-time processing - Ingest data for real-time processing - Design for Lambda architecture - Design and provision compute resources |
| Topic 3: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Ingest data for batch and interactive processing - Design for batch processing - Design and provision compute clusters - Design interactive queries for big data - Design for data security |
| Topic 4: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Monitor and manage data pipelines - Design deployment strategies - Move, transform, and analyze data - Create and configure Azure Data Factory - Orchestrate data processing workflows |
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