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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options is CORRECT in regards to integrating InfoSphere BigInsights and warehousing environments?

A) InfoSphere BigInsights Enterprise Edition also comes with a standard Java Database Connectivity (JDBC) connector, making it possible for organizations to quickly integrate with a wide variety of data and information systems, including Oracle, Microsoft SQL Server, MySQL and Teradata.
B) There is no integration between InfoSphere BigInsights and warehousing environments since they deal with different type of data.
C) Frequently accessed data should be maintained in the BigInsights environment while old?or outdated information can be offloaded to the Frequently accessed data should be maintained in the BigInsights environment while ?old?or outdated information can be offloaded to the warehouse environment.
D) There is no direct interaction between InfoSphere BigInsighs and data warehousing environments. However, InfoSphere Streams can be used to stream data between the two environments.

2. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) BigSheets.
B) General Parallel File System.
C) Adaptive MapReduce.
D) Text Analytics.

3. InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:

A) It complements your existing infrastructure by extending your data collection and analysis capabilities.
B) It enables analysis at scale.
C) It integrates data from a variety of structured and unstructured sources.
D) It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.

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

Solutions: