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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?

A) Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.
B) Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.
C) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
D) Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi-structured, and unstructured data, as well as when a data discovery process is needed.

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

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

3. Which of the following features is a browser-based analytic tool in the BigInsights web console that uses a spreadsheet metaphor to help you analyze and break down massive amounts of unstructured data into consumable, situation-specific business contexts?

A) BigSheets
B) Text Analytics
C) BigIndex.
D) Adaptive MapReduce

4. Which of the following components is NOT included in the BigInsights Basic Edition distribution?

A) Pig.
B) Hadoop Distributed File System.
C) Hive.
D) BigSheets.

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