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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 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.

2. Which of the following options is CORRECT in regards to integrating InfoSphere BigInsights and warehousing environments?

A) InfoSphere BigInsights Enterprise Edition also comes with a standard Java Database Connectivity (JDBC) connector, making it possible for organizations to quickly integrate with a wide variety of data and information systems, including Oracle, Microsoft SQL Server, MySQL and Teradata.
B) There is no direct interaction between InfoSphere BigInsighs and data warehousing environments. However, InfoSphere Streams can be used to stream data between the two environments.
C) Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
D) There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.

3. The analytic capabilities that come built-in with the Big Data platform include:

A) Acoustic
B) Financial
C) Image and Video
D) All of the above

4. What is Hadoop?

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

Solutions: