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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. How is data stored in a Hadoop cluster?

A) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
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, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.

2. 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 Online Transaction Processing (OLTP) environments.
C) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
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.

3. Which of the following methods can be used by Cognos to connect with InfoSphere BigInsights? (Choose two)

A) Connection via the Pig JDBC driver.
B) Connection via the SPL JDBC driver.
C) Connection via the Big SQL JDBC driver.
D) Connection via the Hive JDBC driver.

4. What is Hadoop?

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

Solutions: