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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. 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.

2. 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) 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) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed
file-system.
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.

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

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

4. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

A) Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
B) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
C) Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
D) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.

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