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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. 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.

2. How do enterprises leverage big data platforms?

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

3. In a traditional Hadoop stack, which of the following components provides data warehouse infrastructure and allows SQL developers and business analysts to leverage their existing SQL skills?

A) Text analytics.
B) Hive.
C) Zookeeper.
D) Avro.

4. Which of the following connectivity modules is provided by InfoSphere Data Explorer?

A) Federation Module
B) Navigation Module
C) Discovery Module
D) Language Module

Solutions: