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Our 70-475 exam dumps will include those topics:

  • Operationalize end-to-end cloud analytics solutions (30-35%)
  • Design big data real-time processing 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

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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
  • Troubleshoot data integration issues
  • Implement master data management solutions
  • Create and monitor a data factory
  • Ingest data for real-time processing
  • Design and provision compute clusters
  • Deploy con configure SSIS solutions
  • Design for data security

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Microsoft 070-475 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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
Topic 2: Design Big Data Batch Processing and Interactive Solutions20-25%- Design for batch processing
- Design for data security
- Design interactive queries for big data
- Ingest data for batch and interactive processing
- Design and provision compute clusters
Topic 3: Operationalize End-to-End Cloud Analytics Solutions25-30%- Design deployment strategies
- Orchestrate data processing workflows
- Move, transform, and analyze data
- Create and configure Azure Data Factory
- Monitor and manage data pipelines
Topic 4: Design Machine Learning Solutions25-30%- Select input/output data types
- Determine pre-processing and training locations
- Publish machine learning web services
- Create and manage experiments
- Apply custom processing with R and Python

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