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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What does ?Big Data? represent?

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

2. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) Text Analytics.
B) General Parallel File System.
C) BigSheets.
D) Adaptive MapReduce.

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. 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 develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
C) 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.
D) InfoSphere Streams perform complex analytics on data at rest.

Solutions: