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NEW QUESTION: 1
Which two OSPF LSA types are flooded within the originating area? (Choose two.)
A. type 3, Network Summary LSA
B. type 6, Group Membership LSA
C. type 1, Router LSA
D. type 4, ASBR Summary LSA
E. type 2, Network LSA
F. type 9, Opaque LSA
Answer: C,E
Explanation:
OSPF relies on several types of Link State Advertisements (LSAs) to communicate link state information between neighbors. A brief review of the most applicable LSA types: Type 1 - Represents a router Type 2 - Represents the pseudonode (designated router) for a multiaccess link Type 3 - A network link summary (internal route) Type 4 - Represents an ASBR Type 5 - A route external to the OSPF domain Type 7 - Used in stub areas in place of a type 5 LSA LSA types 1 and 2 are found in all areas, and are never flooded outside of an area. They are only flooded within the area that they originated from.
Reference: http://packetlife.net/blog/2008/jun/24/ospf-area-types/
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NEW QUESTION: 2
Drag and drop the description on the left to the correct Eigrp term on the right. Not all options are used.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
B. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
C. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
D. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
E. No, because the Reducer and Combiner are separate interfaces.
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?

NEW QUESTION: 4
Which of the following are the types of tasks in Ariba Contract Management?
There are 3 correct answers to this question.
Response:
A. Negotiation task
B. Notification task
C. Item to do task
D. To do task
E. Deletion task
Answer: A,B,D

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