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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

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

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

2. 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.

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

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

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

Solutions: