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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options is NOT CORRECT?

A) Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.
B) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
C) Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn nearlyBig data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn? nearlyas effective as a larger set of data from which to derive analysis.
D) Big data solutions are ideal for Online Transaction Processing (OLTP) environments.

2. Which of the following integrated development environment (IDE) can be used to develop programs to be used with InfoSphere BigInsights?

A) IBM Data Studio with InfoSphere Data Explorer plug-in.
B) InfoSphere Data Explorer.
C) Eclipse with InfoSphere BigInsights plug-in.
D) InfoSphere Streams Studio

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

A) There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.
B) 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.
C) There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.
D) 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.

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) 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) 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) 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.

Solutions: