Microsoft 070-475日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: 070-475日本語
  • Exam Name/Title: Design and Implement Big Data Analytics Solutions (070-475日本語版)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Azure
  • Exam Questions: 122
  • Updated On: Sep,04 2026
  • Certification Level: Specialist / Professional

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

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Microsoft 070-475日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing Big Data Analytics Solutions
Exam Number:70-475
Real Exam Qty:40-60
Exam Price:$165 USD
Related Certifications:MCSE: Data Management and Analytics
MCSE: Cloud Platform and Infrastructure
Passing Score:700 out of 1000
Certificate Validity Period:Retired as of January 31, 2021; no longer valid for new certification
Available Languages:Japanese, English, Chinese (Simplified)
Exam Format:Performance-based, Case studies, Drag and drop, Multiple choice
Exam Duration:120-150
Recommended Training:Microsoft Learning Paths
Microsoft Official Course 20775: Performing Big Data Engineering on Microsoft Azure
Exam Registration:Pearson VUE Registration
Sample Questions:Microsoft 070-475日本語 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers (before retirement)
Pre Condition:No mandatory prerequisites; recommended experience with Azure services, big data architectures, and data processing
Official Syllabus URL:https://www.microsoft.com/en-us/learning/exam-70-475.aspx

Microsoft 070-475日本語 Exam Syllabus Topics:

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


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