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Question # 4

Assuming the node index starts at 1, what is the out-degree of node 3 in the adjacency matrix shown?

Refer to the exhibit.

A.

0

B.

1

C.

2

D.

3

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Question # 5

What are the major components of the YARN architecture?

A.

ResourceManager and NodeManager

B.

Task Tracker and NameNode

C.

HDFS, Tez, and Spark

D.

Avro, ZooKeeper, and HDFS

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Question # 6

What elements are needed to determine the time complexity of finding all the cliques of size k in social network analysis?

A.

Eigenvector centrality and betwenness

B.

Clique size and total number of nodes in the network

C.

Number of edges in the network and centrality measure of the cliques

D.

Clique size and betweenness centrality

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Question # 7

Given an input vector of features, a Random Forests model performs a classification task and ends in a tie.

How does the model handle this outcome?

A.

The model will be rebuilt

B.

A winner is chosen at random

C.

The tree that caused the tie is discarded

D.

One more tree is added to the forest

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Question # 8

What does YARN provide over and above MapReduce?

A.

Separate cluster and resource management

B.

Parallelized processing

C.

Serialized processing

D.

Access to HDFS data

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Question # 9

Which representation is most suitable for a small and highly connected network?

A.

Edge list

B.

Adjacency matrix

C.

Eigenvector centrality

D.

Adjacency list

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