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IBM P2090-032 Exam Syllabus Topics:

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?

A) InfoSphere Data Explorer?s annotators allow users to interact with search results by providing
feedback about the result's value, and by
adding useful information and communication with other users.
B) InfoSphere Data Explorer?s annotators allow users to create groups of search results.
C) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
D) InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of
data formats and types, including structured,
semi-structured and unstructured, as well as the special demands of rich media and transactional
data.

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

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

3. Which of the following options contain security enhancements available in InfoSphere BigInsights (Choose two) ?

A) Secure file transfers through SFTP protocol.
B) LDAP authentication
C) Kerberos authentication protocol.
D) Trusted Context.

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

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

Solutions: