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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:

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

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

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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 batch processing and interactive solutions (30-35%)
  • Design big data real-time processing solutions (30-35%)

For more info visit: Microsoft Official 70-475 Exam Reference

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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 Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Implement Spark-based analytics
  • 2. Process data with Hadoop ecosystem tools
  • 3. Develop data transformation workflows
  • 4. Implement HDInsight solutions
Topic 2: Manage Security and Operations10%- Administration
  • 1. Manage operational processes
  • 2. Monitor big data workloads
  • 3. Implement security controls
  • 4. Optimize performance and scalability
Topic 3: Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Design data storage strategies
  • 2. Select appropriate Azure big data services
  • 3. Design real-time analytics solutions
  • 4. Design batch processing solutions
Topic 4: Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Implement dashboards and visualizations
  • 2. Create analytical reports
  • 3. Integrate analytics outputs with reporting platforms
Topic 5: Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Implement Event Hubs ingestion
  • 2. Implement streaming data collection
  • 3. Integrate on-premises and cloud data sources
  • 4. Implement Azure Data Factory pipelines

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