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

070-475 real exams

Exam Code: 070-475

Exam Name: Design and Implement Big Data Analytics Solutions

Updated: Sep 27, 2026

Q & A: 122 Questions and Answers

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About Microsoft 070-475 Exam

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

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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.

To prepare for the exam, candidates should have a good understanding of big data technologies, Azure services, and machine learning concepts. They should also have hands-on experience working with these technologies. Microsoft offers a range of training courses and study materials to help candidates prepare for the exam, including online training courses, study guides, and practice exams.

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Microsoft 070-475 Exam Syllabus Topics:

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

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