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NEW QUESTION: 1
Refer to the exhibit. The command is executed while configuring a point-to-multipoint Frame Relay interface. Which type of IPv6 address is portrayed in the exhibit?
A. site-local
B. link-local
C. multicast
D. global
Answer: B
NEW QUESTION: 2
Two team members are unable to move forward on an activity because they disagree about to execute it, What should the project manager dot to achieve a win resolution.
A. Emphasize areas of agreement to reach a decision.
B. Ask an external expert to determine the best option.
C. require both team members to compromise and facilities a conclusion.
D. Brainstorm alternatives until a consensus is reached.
Answer: A
NEW QUESTION: 3
Which option correctly describes the security enhancement added for OSPFv3?
A. Both the AuType and Authentication fields are removed from the OSPF header in OSPFv3, since now it
relies on the IPv6 Authentication Header (AH) and IPv6 Encapsulating Security Payload (ESP) to
provide integrity, authentication, and/or confidentiality.?
B. The Authentication field in OSPFv3 is increased from 64 bits to 128 bits to accommodate more secure
authentication algorithms.
C. The AuType field in OSPFv3 now supports the more secure SHA-1 and SHA-2 algorithms in addition to
MD5.
D. The Authentication field is removed from the OSPF header in OSPFv3, because OSPFv3 must only run
inside of an authenticated IPSec tunnel.
E. The AuType field is removed from the OSPFv3 header since simple password authentication is no
longer an option.
Answer: A
NEW QUESTION: 4
Combiners Increase the efficiency of a MapReduce program because:
A. They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
B. 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.
C. 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.
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: C
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)