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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. What is Hadoop?

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

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

A) Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
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) There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.
D) 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.

3. Which of the following options is NOT CORRECT?

A) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
B) 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.
C) Big data solutions are ideal for Online Transaction Processing (OLTP) environments.
D) Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.

4. Hadoop environments are optimized for:

A) Intensive calculation with little data.
B) Batch processing on large files.
C) Processing transactions (random access).
D) Low latency data access.

Solutions: