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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. 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?t nearly as effective as a larger set of data from which to derive analysis.
C) Big data solutions are ideal for Online Transaction Analytical Process (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 of sources.

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

A) Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.
B) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
C) Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
D) Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.

3. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) General Parallel File System.
B) Adaptive MapReduce.
C) BigSheets.
D) Text Analytics.

4. Which of the following options are CORRECT (Choose two)?

A) Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
B) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
C) InfoSphere Streams perform complex analytics on data at rest.
D) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.

Solutions: