Microsoft Design and Implement Big Data Analytics Solutions (70-475日本語版) : 70-475日本語 exam dump

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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.

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:

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

Microsoft 70-475日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Implement Data Ingestion Solutions	25%	- Data Acquisition 1. Integrate on-premises and cloud data sources 2. Implement Azure Data Factory pipelines 3. Implement streaming data collection 4. Implement Event Hubs ingestion
Implement Data Visualization and Reporting	10%	- Business Intelligence 1. Integrate analytics outputs with reporting platforms 2. Implement dashboards and visualizations 3. Create analytical reports
Design Azure Big Data Solutions	25%	- Solution Architecture 1. Design real-time analytics solutions 2. Select appropriate Azure big data services 3. Design batch processing solutions 4. Design data storage strategies
Manage Security and Operations	10%	- Administration 1. Optimize performance and scalability 2. Manage operational processes 3. Implement security controls 4. Monitor big data workloads
Implement Big Data Processing	30%	- Data Processing and Analytics 1. Implement HDInsight solutions 2. Implement Spark-based analytics 3. Develop data transformation workflows 4. Process data with Hadoop ecosystem tools