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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What does ?Big Data? represent?

A) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) Only data stored in the BIGDATA table in any relational database.
C) Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.
D) A database feature capable of converting pre-existing structured data into unstructured raw data.

2. 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 sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
D) 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.

3. Which of the following compression algorithms is used by InfoSphere BigInsights to provide an additional compression option over the ones that come with the base Hadoop distribution?

A) brzip.
B) gzip.
C) lza.
D) lzo.

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

A) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
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 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.

Solutions: