Microsoft 70-475J Questions & Answers - in .pdf
- Vendor: Microsoft
- Exam Code: 70-475J
- Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
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- Exam Name: Design and Implement Big Data Analytics Solutions (70-475日本語版)
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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.
Microsoft 70-475日本語 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing Big Data Analytics Solutions |
| Exam Number: | 70-475 |
| Exam Price: | $165 USD |
| Passing Score: | 700 out of 1000 |
| Certificate Validity Period: | Retired as of January 31, 2021; no longer valid for new certification |
| Real Exam Qty: | 40-60 |
| Related Certifications: | MCSE: Cloud Platform and Infrastructure MCSE: Data Management and Analytics |
| Available Languages: | English, Japanese, Chinese (Simplified) |
| Exam Format: | Multiple choice, Drag and drop, Case studies, Performance-based |
| 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 70-475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 |
Our 70-475 exam dumps will include those topics:
- Design big data real-time processing solutions (30-35%)
- Operationalize end-to-end cloud analytics solutions (30-35%)
- Design big data batch processing and interactive solutions (30-35%)
For more info visit: Microsoft Official 70-475 Exam Reference
Reference: https://www.microsoft.com/en-pk/learning/exam-70-475.aspx
70-475 - Designing and Implementing Big Data Analytics Solutions
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:
- Move, transform, and analyze data using MapReduce
- Create and monitor a data factory
- Design for data security
- Implement master data management solutions
- Ingest data for real-time processing
- Troubleshoot data integration issues
- Design and provision compute clusters
- Deploy con configure SSIS solutions
Microsoft 70-475日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Machine Learning Solutions | 25-30% | - Create and manage experiments - Determine pre-processing and training locations - Publish machine learning web services - Select input/output data types - Apply custom processing with R and Python |
| Topic 2: Design Big Data Real-Time Processing Solutions | 25-30% | - Design and provision compute resources - Design for real-time processing - Design for Lambda architecture - Ingest data for real-time processing |
| Topic 3: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for data security - Ingest data for batch and interactive processing - Design and provision compute clusters - Design for batch processing - Design interactive queries for big data |
| Topic 4: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Design deployment strategies - Monitor and manage data pipelines - Orchestrate data processing workflows - Move, transform, and analyze data - Create and configure Azure Data Factory |
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