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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. How do big data solutions interact with the existing enterprise infrastructure?

A) Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.
B) Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
D) Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.

2. Which of the following options contains the main components of Hadoop? (Choose three)

A) Text Analytics.
B) Hadoop Distributed File System (HDFS).
C) MapReduce framework.
D) Apache Commons.

3. In regards of InfoSphere Streams, Which of the following options is CORRECT?

A) InfoSphere Streams is a powerful analytic computing platform capable of analyzing data in real time with micro-latency.
B) InfoSphere Streams is a powerful analytic computing platform capable of gathering large quantities of data, manipulating the data, and storing it on disk.
C) InfoSphere Streams is web administration graphical user interface (GUI) capable of setting up a secure communication channel to stream post-processed data from a Hadoop cluster into a relational database, such as IBM DB2.
D) InfoSphere Streams is an extract, transform, and load (ETL) platform that is capable of integrating small volumes of data across a wide variety of data sources and target applications.

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

A) 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.
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) 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.

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