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IBM InfoSphere BigInsights Technical Mastery Test v2 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) BigSheets.
B) Adaptive MapReduce.
C) General Parallel File System.
D) Text Analytics.

2. 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) gzip.
B) lzo.
C) brzip2.
D) lza.

3. Hadoop environments are optimized for:

A) Intensive calculation with little data.
B) Low latency data access.
C) Batch processing on large files.
D) Processing transactions (random access).

4. What does ig Data?represent?What does ?ig Data?represent?

A) A database feature capable of converting pre-existing structured data into unstructured raw data.
B) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.
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) Only data stored in the BIGDATA table in any relational database.

Solutions: