Microsoft 070-475 exam consists of questions that test the candidate's ability to develop big data solutions that enable data scientists to derive insights in real-time. It also covers concepts like the development of batch processing solutions, data storage, data analysis, and data visualization. Individuals who pass 70-475 exam become Microsoft Certified Professionals in designing and implementing big data analytics solutions, which can give them a considerable advantage in the job market.

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

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Microsoft 070-475 exam is designed for professionals who are aiming to improve their skills in designing big data analytics solutions. It is intended for individuals who have previously worked in data analysis and want to learn new concepts and technologies that are used in big data analytics.

Microsoft 070-475 exam is designed for professionals who are interested in designing and implementing big data analytics solutions using Microsoft technologies. 70-475 exam is part of the Microsoft Certified Solutions Expert (MCSE) certification program and is intended for individuals who have prior experience in data analytics and data engineering. 70-475 exam tests the candidates' knowledge and skills in various areas of big data analytics, such as designing and implementing data storage solutions, designing and implementing data processing solutions, and designing and implementing data visualization solutions.

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:

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

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