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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. What does ig Data?represent?What does ?ig Data?represent?

A) A database feature capable of converting pre-existing structured data into unstructured raw data.
B) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
C) Only data stored in the BIGDATA table in any relational database.
D) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.

2. What are the "Vs"that characterize IBM Big Data initiative?

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

3. Which of the following options is CORRECT?

A) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
B) InfoSphere BigInsights is based on the non forked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
C) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
D) InfoSphere BigInsights is based on the non forked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.

4. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) General Parallel File System.
B) Adaptive MapReduce.
C) Text Analytics.
D) BigSheets.

Solutions: