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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. The analytic capabilities that come built-in with the Big Data platform include:

A) Acoustic
B) Image and Video
C) Financial
D) All of the above

2. Which of the following options is CORRECT?

A) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
B) 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.
C) 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.
D) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.

3. Which of the following options is CORRECT in regards of Text Analytics component?

A) The Text Analytics component extracts information from unstructured and semi-structured data. By using its components, enterprises can analyze large volumes of text and produce annotated documents that provide valuable insights into unconventionally stored data.
B) Jaql is the language for developing text analytics extractors in the InfoSphere BigInsights Text Analytics system. A Jaql extractor is a program written in Jaql that extracts structured information from unstructured or semi-structured text.
C) The Text Analytics component only extracts information from structured data stored in a relational database.
D) The Text Analytics component is a programming model for processing large data sets, and the name of an implementation of the model by Google. Text Analytics is typically used to do distributed computing on clusters of computers.

4. Which of the following options contains the main components of Hadoop? (Choose three)

A) Text Analytics.
B) Hadoop Distributed File System (HDFS).
C) Hadoop Common.
D) MapReduce framework.

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