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IBM P2090-038 Exam Syllabus Topics:

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

Question 1

How do big data solutions interact with the existing enterprise infrastructure?

A. Big data solutions must substitute the existing enterprise infrastructure; therefore there is no interaction between them.
B. Big data solutions works in parallel and together with the existing enterprise infrastructure, where pre-existing connectors are used to integrate big data technologies together with other enterprise solutions.
C. Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it does not interact with existing infrastructure.
D. Big data solutions are only plug-ins and additions to existing data warehouses, and therefore cannot work with any other enterprise infrastructure.

Question 2

Which of the following options DOES NOT describe an advantage of InfoSphere BigInsights on top of regular standalone Hadoop distributions?

A. Integrated install
B. Adaptive MapReduce
C. Support to HiveQL and PigLatin languages.
D. BigSheets

Question 3

Which of the following statements should be used to import data from DB2 into InfoSphere BigInsights?

A. You can use the Big SQL LOAD FROM statement to load data into a Hive table.
B. You can use the Big SQL IMPORT FROM statement to load data into a HBase table.
C. You can use the Big SQL LOAD FROM statement to load data into a Big SQL table.
D. You can use the Big SQL IMPORT FROM statement to load data into a Big SQL table.

Question 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 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.

Solutions: