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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Streams jobs can be monitored using the following tools (choose three):

A) Streams universal web management interface.
B) Streams Studio.
C) Streams console.
D) Streamtool command.

2. What does ?Big Data? represent?

A) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) Only data stored in the BIGDATA table in any relational database.
C) A database feature capable of converting pre-existing structured data into unstructured raw data.
D) Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.

3. InfoSphere Data Explorer accommodates data variety through (choose three):

A) Broad connectivity to a wide range of data management systems and applications.
B) Federated connectivity in the cloud and on-premise.
C) Sophisticated security mapping, including cross-domain and field-level security.
D) Support for new ?virtual multi-dimensional node? technology capable of aggregating documents created from multiple sources or tables.

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 partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
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 files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.

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