IBM 000-N32 : IBM Big Data Fundamentals Technical Mastery Test v1

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IBM 000-N32 Exam Syllabus Topics:

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

Question 1

The following types of indexes are available in the InfoSphere BigInsights? Large Scale indexing feature, EXCEPT:

A. MapReduce index
B. Partitioned index
C. Parallel index
D. Real-time index

Question 2

InfoSphere Data Explorer accommodates data variety through (choose three):

A. Sophisticated security mapping, including cross-domain and field-level security.
B. Federated connectivity in the cloud and on-premise.
C. Support for new ?virtual multi-dimensional node? technology capable of aggregating documents created from multiple sources or tables.
D. Broad connectivity to a wide range of data management systems and applications.

Question 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. lza.
B. gzip.
C. lzo.
D. brzip.

Question 4

Which of the following options is NOT CORRECT?

A. Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
B. Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
C. Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
D. Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.

Solutions: