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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

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

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

2. Which of the following features is a browser-based analytic tool in the BigInsights web console that uses a spreadsheet metaphor to help you analyze and break down massive amounts of unstructured data into consumable, situation-specific business contexts?

A) BigSheets
B) Text Analytics
C) BigIndex.
D) Adaptive MapReduce

3. 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.

4. How is data stored in a Hadoop cluster?

A) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
B) The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
C) The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
D) The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.

Solutions: