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?
A . Hadoop does not support multi tenancy but can easily scale to support this by replicating data to new clusters with commodity hardware.
B . Hadoop can support multi tenancy but only if YARN is used, so if not already used, the customer will need to upgrade to a YARN supported version.
C . Virtualization methods can be used to support multi-tenancy on Hadoop because one can easily replicate to additional cluster whenever there is a need.
D . Hadoop can support multi tenancy by using a cluster file system for storage, allowing all nodes to access the data.
Answer: D
Explanation:
Reference: http://www01.ibm.com/support/knowledgecenter/STXKQY/411/com.ibm.spectrum.scale.v4r11.adv.do c/bl1adv_hadoop.htm? lang=en
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