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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options are CORRECT (Choose two)?

A) InfoSphere Streams perform complex analytics on data at rest.
B) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
C) Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
D) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.

2. Which of the following options is CORRECT?

A) InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.
B) InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
C) InfoSphere Data Explorer is not able to mirror pre-existing security frameworks, therefore it doesn?t make use of industry-standard authentication and authorization processes already in place.
D) InfoSphere Data Explorer provides powerful navigation capabilities across all the important information stored exclusively into Hadoop Distributed File System in a single view. No other file systems are supported.

3. Which of the following tools can be used to configure the InfoSphere Data Explorer environment (choose two) ?

A) Data Explorer Virtual Desktop
B) REST/SOAP APIs
C) Data Studio Web Console
D) InfoSphere Data Explorer?s web-based interface

4. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

A) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
B) Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
C) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
D) Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.

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