Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) : 070-475日本語

070-475日本語 real exams

Exam Code: 070-475J

Exam Name: Design and Implement Big Data Analytics Solutions (070-475日本語版)

Updated: Oct 17, 2026

Q & A: 122 Questions and Answers

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About Microsoft 070-475日本語 Exam

To take the Microsoft 070-475 exam, candidates should have experience designing and implementing big data solutions using Microsoft technologies. They should also have experience working with Microsoft Azure and be familiar with Microsoft Power BI. Candidates should also have a deep understanding of big data analytics technologies and be able to apply this knowledge to design and implement effective big data solutions.

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Microsoft 070-475 exam is designed for professionals who are aiming to improve their skills in designing big data analytics solutions. It is intended for individuals who have previously worked in data analysis and want to learn new concepts and technologies that are used in big data analytics.

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

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Microsoft 070-475日本語 Exam Syllabus Topics:

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

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