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Questions # 11:

What is a random subspace of features, as used by Random Forests?

Options:

A.

A random subset of features that are chosen at each split in the decision tree

B.

Filtration of data that does not meet a pre-defined weighting thrsehold

C.

The creation of out-of-bag (OOB) data that is used to select features

D.

Removal of highly correlated variables to randomize the features

Questions # 12:

Which metric would be most helpful in identifying a node that may cause network disruption if the node were removed?

Options:

A.

Degree

B.

Closeness

C.

Betweenness

D.

PageRank

Questions # 13:

In a social network, what does it mean for a node to have a high degree but low betweenness?

Options:

A.

The node is adjacent to a few nodes, each of each has high Page Ranks.

B.

The node has the only edge connecting its community to the rest of the graph.

C.

The node can be easily bypassed by communications taking other shorter paths.

D.

The node acts as the hub of the graph.

Questions # 14:

In the graph, which edge would be considered a weak lie?

Refer to the exhibit.

Question # 14

Options:

A.

C-E

B.

E-F

C.

B-C

D.

G-l

Questions # 15:

You conduct a TFIDF analysis on 3 documents containing raw text and derive TFIDF ("data", document y) = 1.908. You know that the term "data” only appears in document 2.

What is the TF of “data" in document 2?

Options:

A.

2 based on the following reasoning:

TFIDF = TF1DF = 1 908

You then know that IDF will equal LOG (32)=0.954

Therefore, TFIDF=TF*0.954 = 1.908

TF will then round to 2

B.

4 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal LOG (3/1 )=0.477

Therefore, TFIDF=TF'0 477 = 1.908

TF will then round to 4

C.

6 based on the following reasoning:

TFIDF = TF1DF = 1.908

You then know that IDF will equal 3/1=3

Therefore, TFIDF=TF/3 = 1.908

TF will then round to 6

D.

11 based on the following reasoning:

TFIDF = TF1DF = 1908

You then know that IDF will equal LOG(3/2)=0.176

Therefore, TFIDF=TF"0.176 = 1.908

TF will then round to 11

Questions # 16:

What is an effective use of color in visualization?

Options:

A.

Use self-explanatory colors so a legend is unnecessary

B.

Maximize use of color to make a more lasting impression

C.

Use high contrast colors such as red and blue

D.

Minimize use of color except for emphasis

Questions # 17:

What runs more efficiently because of Apache Tez?

Options:

A.

Pig and Hive

B.

Hive and HBase

C.

Yarn and Spark

D.

All MapReduce jobs

Questions # 18:

Which scenario would be ideal for processing Hadoop data with Hive?

Options:

A.

Structured data, real-time processing

B.

Unstructured data; batch processing

C.

Unstructured data; real-time processing

D.

Structured data; batch processing

Questions # 19:

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

Options:

A.

Edge list

B.

Adjacency matrix

C.

Eigenvector centrality

D.

Adjacency list

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