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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. 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

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

A) The Text Analytics component only extracts information from structured data stored in a relational database.
B) 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.
C) 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.
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.

3. How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?

A) Applications will connect using custom made connectors programmed in SPL.
B) Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
C) Applications will connect using the JAQL programming language.
D) Applications will connect using either HiveQL or Pig programming languages.

4. What does ig Data?represent?What does ?ig Data?represent?

A) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) Only data stored in the BIGDATA table in any relational database.
C) A database feature capable of converting pre-existing structured data into unstructured raw data.
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.

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