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NEW QUESTION: 1
View the exhibit, which contains the partial output of an IKE real-time debug, and then answer the question below.

Why didn't the tunnel come up?
A. The remote gateway is using aggressive mode and the local gateway is configured to use man mode.
B. The remote gateway's phase 2 configuration does not match the local gateway's phase 2 configuration.
C. The remote gateway's phase 1 configuration does not match the local gateway's phase 1 configuration.
D. The pre-shared keys do not match.
Answer: C

NEW QUESTION: 2
Given the NSAP address .0012.1234.1234.1234.00, what area does the IS-IS router reside in?
A. 49.0012.1234
B. 49.0012
C. 49.1234
D. 12.1234
E. 0
Answer: B

NEW QUESTION: 3
Combiners Increase the efficiency of a MapReduce program because:
A. They aggregate intermediate map output locally on each individual machine and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
B. They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
C. They provide an optimization and reduce the total number of computations that are needed to execute an algorithm by a factor of n, where is the number of reducer.
D. They aggregate intermediate map output horn a small number of nearby (i.e., rack-local) machines and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
Answer: A
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference:24 Interview Questions & Answers for Hadoop MapReduce developers,What are combiners? When should I use a combiner in my MapReduce Job?
http://www.fromdev.com/2010/12/interview-questions-hadoop-mapreduce.html(question no. 12)

NEW QUESTION: 4
A customer wants to purchase a tower server for each remote office in the company. Which server model meets this requirements?
A. HPE ProLiant SL4540
B. HPE ProLiant ML 110
C. HPE ProLiant BL660c
D. HPE ProLiant DL 180
Answer: D