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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

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

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

2. What is HADOOP?

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

3. 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 large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.
B) 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.
C) 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.
D) 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.

4. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A) MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
B) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
C) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
D) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.

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