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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is good fit for Hadoop Distributed File System (HDFS)?

A) Lots of small files.
B) Applications requiring high throughput of data.
C) Applications requiring low latency data access.
D) Multiple writers accessing the same file.

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

3. Which of the following options is CORRECT regarding InfoSphere Data Explorer?s annotators?

A) InfoSphere Data Explorer?s annotators is an add-on feature capable of handling of a variety of
data formats and types, including structured,
semi-structured and unstructured, as well as the special demands of rich media and transactional
data.
B) InfoSphere Data Explorer?s annotators allow users to interact with search results by providing
feedback about the result's value, and by
adding useful information and communication with other users.
C) InfoSphere Data Explorer?s annotators allow users to save results in a private/public folder for
later review or sharing.
D) InfoSphere Data Explorer?s annotators allow users to create groups of search results.

4. What are the ?4 Vs? that characterize IBM?s Big Data initiative?

A) Volume, Volatility, Velocity, Variety
B) Veracity, Variety, Volume, Velocity
C) Variety, Versions, Velocity, Volatility
D) Velocity, Volatility, Variety, Veracity

Solutions: