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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

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

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

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

A) Big data solutions must substitute the existing enterprise infrastructure; therefore there is no interaction between them.
B) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it does not interact with existing infrastructure.
C) Big data solutions works in parallel and together with the existing enterprise infrastructure, where pre-existing connectors are used to integrate big data technologies together with other enterprise solutions.
D) Big data solutions are only plug-ins and additions to existing data warehouses, and therefore cannot work with any other enterprise infrastructure.

3. What does ig Data?represent?What does ?ig Data?represent?

A) Only data stored in the BIGDATA table in any relational database.
B) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
C) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.
D) A database feature capable of converting pre-existing structured data into unstructured raw data.

4. What is a major difference between HDFS and GPFS-FPO?

A) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant, and highly available file system that allows for standard applications to also use the storage area marked for Hadoop use.
B) There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.
C) Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant file system that allows for standard applications to also use the storage area marked for Hadoop use. Like HDFS, GPFSFPO also has an issue with the meta data name node service which may be a single point of failure.
D) There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.

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