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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 for Online Transaction Processing (OLTP) environments.
D) 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.

2. 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.

3. Which of the following options contains the main components of Hadoop? (Choose three)

A) Hadoop Distributed File System (HDFS).
B) Text Analytics.
C) MapReduce framework.
D) Hadoop Common.

4. How is data stored in a Hadoop cluster?

A) The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
B) The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
C) The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.
D) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.

Solutions: