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Questions # 1:

What describes how nodes in a social network are similar to each other in characteristics?

Options:

A.

Community clustering

B.

Modularity

C.

Homophily

D.

Strongly tied network

Questions # 2:

You develop a Python script "logisticpy" to evaluate the logistic function denoted as f(y) for a given value y that includes the following Pig code:

Register 'logistic.py' using jython as udf;

z = FOREACH y GENERATE $0, udf.logistic ($0);

DUMP z;

What is the expected output when the Pig code is executed?

Options:

A.

0

B.

Jython is not a supported language

C.

Value of f(y) for ally

D.

Tuples (y, f(y))

Questions # 3:

What is a typical use of a UDF in Pig?

Options:

A.

Creating functionality outside of what is provided by the built-in functions

B.

Providing Functional access to user-defined data in HDFS

C.

Providing advanced analytics to Hadoop

D.

Providing an interface from Pig to Microsoft Excel for easier data manipulation

Questions # 4:

What best describes the meaning behind the phrase "Six Degrees of Separation'"?

Options:

A.

Ability to use about six hops to reach any other node in an extremely large social network

B.

Erdos number of all scholars having written papers with Paul Erdos

C.

Maximum number of edges between nodes in a graph with a diameter of six

D.

Typical distance between nodes that are connected by triadic closure

Questions # 5:

Which is NOT a tenet of the Apache Pig Philosophy?

Options:

A.

It must be easily commanded

B.

Any type of data can be processed

C.

Hadoop is required

D.

Data should be processed quickly

Questions # 6:

Why would a company decide to use HBase to replace an existing relational database?

Options:

A.

It is required for performing ad-hoc queries.

B.

Varying formats of input data requires columns to be added in real time.

C.

The company's employees are already fluent in SQL.

D.

Existing SQL code will run unchanged on HBase.

Questions # 7:

A data engineer is asked to process several large datasets using MapReduce. Upon initial inspection the engineer realizes that there are complex interdependencies between the datasets.

Why is this a problem?

Options:

A.

MapReduce works best on unstructured data

B.

There is no problem; MapReduce accommodates all the data

C.

MapReduce can only parse one file at a time.

D.

MapReduce is not ideal when the processing of one dataset depends on another.

Questions # 8:

Which problem type is best suited for simulation?

Options:

A.

One with a few. non-random input variables

B.

One that has a closed-form solution

C.

One with numerous, non-random Input-variables

D.

One that compares "what-if scenarios

Questions # 9:

Consider the two sentences below.

    I mailed my credit card application to the bank

    We walked along the river bank until we came to a waterwheel

What type of NLP ambiguity might occur when interpreting the word "bank"?

Options:

A.

Discourse

B.

Syntactic

C.

Semantic

D.

Acoustic

Questions # 10:

What is the most likely reason for an HBase table to contain millions of columns?

Options:

A.

Data is imported from a relational database table

B.

Data is stored in the column qualifier

C.

There are thousands of columns families

D.

The column names are randomly generated

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