PDF Version DemoOur 70-475 exam dumps will include those topics:
- Design big data batch processing and interactive solutions (30-35%)
- Design big data real-time processing solutions (30-35%)
- Operationalize end-to-end cloud analytics 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
Microsoft 070-475 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: Cloud Platform and Infrastructure MCSE: Data Management and Analytics |
| Exam Format: | Drag and drop, Case studies, Multiple choice, Performance-based |
| Available Languages: | Chinese (Simplified), English, Japanese |
| Exam Duration: | 120-150 |
| Certificate Validity Period: | Retired as of January 31, 2021; no longer valid for new certification |
| Passing Score: | 700 out of 1000 |
| 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 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 |
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 070-475 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operationalize End-to-End Cloud Analytics Solutions | 25-30% | - Orchestrate data processing workflows - Design deployment strategies - Create and configure Azure Data Factory - Monitor and manage data pipelines - Move, transform, and analyze data |
| Topic 2: Design Machine Learning Solutions | 25-30% | - 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 |
| Topic 3: Design Big Data Batch Processing and Interactive Solutions | 20-25% | - Design for data security - Design for batch processing - Design interactive queries for big data - Ingest data for batch and interactive processing - Design and provision compute clusters |
| Topic 4: Design Big Data Real-Time Processing Solutions | 25-30% | - Design for real-time processing - Design and provision compute resources - Design for Lambda architecture - Ingest data for real-time processing |
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