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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

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

A) 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.
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) There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.

2. What is Hadoop?

A) Hadoop is a universal Big Data programming language used to query large datasets.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
D) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.

3. Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?

A) Support to HiveQL and PigLatin languages.
B) BigSheets
C) Integrated install
D) Adaptive MapReduce

4. Which of the following options is CORRECT in regards of Text Analytics component?

A) Jaql is the language for developing text analytics extractors in the InfoSphere BigInsights Text Analytics system. A Jaql extractor is a program written in Jaql that extracts structured information from unstructured or semi-structured text.
B) The Text Analytics component extracts information from unstructured and semi-structured data. By using its components, enterprises can analyze large volumes of text and produce annotated documents that provide valuable insights into unconventionally stored data.
C) The Text Analytics component only extracts information from structured data stored in a relational database.
D) The Text Analytics component is a programming model for processing large data sets, and the name of an implementation of the model by Google. Text Analytics is typically used to do distributed computing on clusters of computers.

Solutions: