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IBM 000-N38 Exam Syllabus Topics:

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?

A) Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
B) Applications will connect using custom made connectors programmed in SPL.
C) Applications will connect using the JAQL programming language.
D) Applications will connect using either HiveQL or Pig programming languages.

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

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D) Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.

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

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

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

Solutions: