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NEW QUESTION: 1
A Mobility Controller (MC) runs ArubaOS 8. What is a valid reason for an administrator to set the MC to master-local mode?
A. The company already has a partially hierarchical deployment based on the 6.x code and wants to keep the current architecture.
B. The company needs to manage third-party network infrastructure devices with the use of the master controller interface.
C. The company requires a centralized licensing architecture that provides global license pools.
D. The company wants a deployment architecture that allows administrators to configure all MC settings from a single location.
Answer: A

NEW QUESTION: 2
What is the result of a GIT Revert?
A. Removes all untracked files from the working directory.
B. Undoes a committed snapshot.
C. Reverts back to the previous state of the project.
Answer: B

NEW QUESTION: 3
Which two GDOI encryption keys are used within a GET VPN network? (Choose two.)
A. key encryption key
B. group encryption key
C. user encryption key
D. traffic encryption key
Answer: A,D

NEW QUESTION: 4
What are the two advantages of using Hive over MapReduce? (Choose two.)
A. Hive is a free tool; Hadoop requires a license.
B. Hive allows for sophisticated analytics on large data sets.
C. Hive is much faster than MapReduce because it accesses data directly.
D. Hive does not require MapReduce to run in order to analyze data.
E. Hive simplifies Hadoop for new users.
Answer: B,E
Explanation:
E: A comparison of the performance of the Hadoop/Pig implementation of MapReduce with
Hadoop/Hive.
Both Hive and Pig are platforms optimized for analyzing large data sets and are built on top of Hadoop. Hive is a platform that provides a declarative SQLlike language whereas Pig requires users to write a procedural language called PigLatin.
Writing MapReduce jobs in Java can be difficult, Hive and Pig has been developed and works as platforms on top of Hadoop. Hive and Pig allows users easy access to data compared to implementing their own MapReduce in Hadoop.