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Last Updated: Jun 13, 2026
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1. Which of the following integrated development environment (IDE) can be used to develop programs to be used with InfoSphere BigInsights?
A) InfoSphere Streams Studio
B) InfoSphere Data Explorer.
C) Eclipse with InfoSphere BigInsights plug-in.
D) IBM Data Studio with InfoSphere Data Explorer plug-in.
2. InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:
A) It integrates data from a variety of structured and unstructured sources.
B) It complements your existing infrastructure by extending your data collection and analysis capabilities.
C) It enables analysis at scale.
D) It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
3. Which of the following options is CORRECT?
A) InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed.
B) 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.
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, and backwards compatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights.
4. Which of the following options best describes the differences between a traditional data warehouse environment and a Hadoop environment?
A) 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.
B) 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.
C) 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.
D) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C |
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