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C2090-102 · Question #108

A large global enterprise customer has a Big Data environment set up on Hadoop. After a year in operation they are now looking to extend access to multiple functions that will need different views…

The correct answer is D. Hadoop can support multi tenancy by using a cluster file system for storage, allowing all nodes to. 01.ibm.com/support/knowledgecenter/STXKQY/411/com.ibm.spectrum.scale.v4r11.adv.doc/bl1adv_ hadoop.htm?lang=en

Architecture Principles, Strategy, and Planning

Question

A large global enterprise customer has a Big Data environment set up on Hadoop. After a year in operation they are now looking to extend access to multiple functions that will need different views into different aspects/portions of the data. As you consider these requirements, which of the following statements is TRUE and also applies to the scenario?

Options

  • AHadoop does not support multi tenancy but can easily scale to support this by replicating data to
  • BHadoop can support multi tenancy but only if YARN is used, so if not already used, the customer
  • CVirtualization methods can be used to support multi-tenancy on Hadoop because one can easily
  • DHadoop can support multi tenancy by using a cluster file system for storage, allowing all nodes to

How the community answered

(44 responses)
  • A
    14% (6)
  • B
    5% (2)
  • C
    7% (3)
  • D
    75% (33)

Explanation

01.ibm.com/support/knowledgecenter/STXKQY/411/com.ibm.spectrum.scale.v4r11.adv.doc/bl1adv_ hadoop.htm?lang=en

Topics

#Hadoop#multi-tenancy#cluster file system#YARN

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