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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) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
B) 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.
C) 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.
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 standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
C) Applications will connect using custom made connectors programmed in SPL.
D) Applications will connect using the JAQL programming language.

3. 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) Adaptive MapReduce.
C) BigSheets.
D) General Parallel File System.

4. What is a major difference between HDFS and GPFS-FPO?

A) There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.
B) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant, and highly available file system that allows for standard applications to also use the storage area marked for Hadoop use.
C) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant file system that allows for standard applications to also use the storage area marked for Hadoop use. Like HDFS, GPFSFPO also has an issue with the meta data name node service which may be a single point of failure.
D) There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.

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