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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Hadoop environments are optimized for:

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

2. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?

A) Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi-structured, and unstructured data, as well as when a data discovery process is needed.
B) Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.
C) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
D) Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.

3. 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) BigSheets.
C) Adaptive MapReduce.
D) Text Analytics.

Solutions: