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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What are the ?4 Vs? that characterize IBM?s Big Data initiative?

A) Volume, Volatility, Velocity, Variety
B) Veracity, Variety, Volume, Velocity
C) Velocity, Volatility, Variety, Veracity
D) Variety, Versions, Velocity, Volatility

2. The following types of indexes are available in the InfoSphere BigInsights? Large Scale indexing feature, EXCEPT:

A) MapReduce index
B) Parallel index
C) Real-time index
D) Partitioned index

3. Which of the following options is NOT CORRECT?

A) Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
B) Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
C) Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
D) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.

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

A) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
B) 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.
C) InfoSphere Data Explorer?s annotators allow users to create groups of search results.
D) 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.

Solutions: