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

2. How do enterprises leverage big data platforms?

A) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
B) 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.
C) 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.
D) By isolating workloads into a single node, and further processing all the data in sequence.

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

A) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
B) 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.
C) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
D) InfoSphere Streams perform complex analytics on data at rest.

Solutions: