About IBM Big Data Fundamentals Technical Mastery Test v1 exam torrent

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IBM 000-N32 Exam Syllabus Topics:

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

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

A) 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.
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) Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is
well suited to deal with semi-structured and unstructured data, as well as when a data discovery
process is needed.

2. Which of the following components is NOT included in the BigInsights Basic Edition distribution?

A) BigSheets.
B) Pig.
C) Hadoop Distributed File System.
D) Hive.

3. Which of the following options is CORRECT?

A) InfoSphere Streams does not allow you to dynamically add hosts and jobs
B) InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.
C) InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
nodes to be moved and automatically restarted,
with communications re-routed, to a healthy node.
D) InfoSphere Streams is only able to process traditional structured data from a variety of sources.

4. 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.

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