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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following components is a feature from InfoSphere Data Explorer's Discovery module?

A) Auto-save
B) Auto-commit
C) Auto-classification
D) Auto-correction

2. The following types of indexes are available in the InfoSphere BigInsights? Large Scale indexing feature, EXCEPT:

A) Real-time index
B) Partitioned index
C) Parallel index
D) MapReduce index

3. How do enterprises leverage big data platforms?

A) By isolating workloads into a single node, and further processing all the data in sequence.
B) By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.
C) By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.
D) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.

4. 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 substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C) 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.
D) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.

Solutions: