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The advantages surpassing others

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options is CORRECT?

A) InfoSphere Streams submits queries to structured static data.
B) InfoSphere Streams submits queries to structured dynamic data.
C) InfoSphere Streams submits queries to unstructured dynamic data.
D) InfoSphere Streams submits dynamic data to pre-existing queries.

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

A) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed
file-system.
B) 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.
C) 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.
D) 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.

3. What is HADOOP?

A) Hadoop is a single-node file system used as a base for storing traditional formatted data.
B) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
C) Hadoop is a universal Big Data programming language used to query large datasets.
D) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.

4. Which of the following components is a feature from InfoSphere Data Explorer's Discovery module?

A) Auto-correction
B) Auto-commit
C) Auto-save
D) Auto-classification

Solutions: