IBM InfoSphere BigInsights Technical Mastery Test v2 - 000-N38 Exam Practice Test

A. 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.

B. Big data solutions are ideal for Online Transaction Processing (OLTP) environments.

C. Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.

D. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.

A. Connection via the Big SQL JDBC driver.

B. Connection via the SPL JDBC driver.

C. Connection via the Pig JDBC driver.

D. Connection via the Hive JDBC driver.

A. Big data solutions are only plug-ins and additions to existing data warehouses, and therefore cannot work with any other enterprise infrastructure.

B. Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it does not interact with existing infrastructure.

C. 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.

D. Big data solutions must substitute the existing enterprise infrastructure; therefore there is no interaction between them.

A. Jaql is the language for developing text analytics extractors in the InfoSphere BigInsights Text Analytics system. A Jaql extractor is a program written in Jaql that extracts structured information from unstructured or semi-structured text.

B. The Text Analytics component extracts information from unstructured and semi-structured data. By using its components, enterprises can analyze large volumes of text and produce annotated documents that provide valuable insights into unconventionally stored data.

C. The Text Analytics component only extracts information from structured data stored in a relational database.

D. The Text Analytics component is a programming model for processing large data sets, and the name of an implementation of the model by Google. Text Analytics is typically used to do distributed computing on clusters of computers.