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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is HADOOP?

A) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
D) Hadoop is a universal Big Data programming language used to query large datasets.

2. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?

A) InfoSphere Data Explorer?s annotators allow users to interact with search results by providing
feedback about the result's value, and by
adding useful information and communication with other users.
B) InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of
data formats and types, including structured,
semi-structured and unstructured, as well as the special demands of rich media and transactional
data.
C) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
D) InfoSphere Data Explorer?s annotators allow users to create groups of search results.

3. Which of the following components is a feature from InfoSphere Data Explorer's Discovery module?

A) Auto-save
B) Auto-commit
C) Auto-correction
D) Auto-classification

4. Which of the following compression algorithms is used by InfoSphere BigInsights to provide an additional compression option over the ones that come with the base Hadoop distribution?

A) brzip.
B) gzip.
C) lza.
D) lzo.

Solutions: