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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

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

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

2. Which of the following options is CORRECT?

A) InfoSphere BigInsights is based on the non forked core Hadoop distribution, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
B) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
C) InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions.
D) InfoSphere BigInsights is based on the non forked core Hadoop distribution, but backwards compatibility with the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights.

3. Which of the following InfoSphere Biglnsights editions includes the Adaptive MapReduce feature?

A) InfoSphere Biglnsights Advanced Enterprise Edition.
B) InfoSphere Biglnsights Enterprise Edition.
C) InfoSphere Biglnsights Extended Developer Edition.
D) InfoSphere Biglnsights Express Edition.

4. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?

A) Traditional data warehousing environments are mostly ideal for analyzing structured data from various systems, while a Hadoop environment is well suited to deal with structured, semi-structured, and unstructured data, as well as when a data discovery process is needed.
B) Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On the other hand, data injected into Hadoop environments is always pre-processed and filtered.
C) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
D) Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a single system, while traditional data warehousing environment is well suited to deal with unstructured data, as well as when a data discovery process is needed.

Solutions: