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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 small files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
B) 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
C) Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
D) 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.

2. How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?

A) Applications will connect using either HiveQL or Pig programming languages.
B) Applications will connect using the JAQL programming language.
C) Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
D) Applications will connect using custom made connectors programmed in SPL.

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

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

4. What does ig Data?represent?What does ?ig 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) 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.

Solutions: