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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 is CORRECT?

A) InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.
B) 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.
C) InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
D) 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.

2. How do enterprises leverage big data platforms?

A) By isolating workloads into a single node, and further processing all the data in sequence.
B) By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.
C) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
D) By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.

3. What is the purpose of IBM InfoSphere Streams Studio?

A) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run Streams Processing
Language (SPL) and SPL mixed-mode applications.
B) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run MapReduce jobs for
virtualized applications.
C) IBM InfoSphere Streams Studio provides an integrated, modular environment for database
development and administration of DB2 databases,
Informix, and other non-IBM databases.
D) IBM InfoSphere Streams Studio improves performance and cuts costs by providing expert
advice on writing high quality queries and improving
database design.

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 files stored in individual blocks.
B) 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.
C) 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.
D) 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.

Solutions: