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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options is NOT CORRECT?

A) InfoSphere BigInsights is offered in different editions: Basic, Limited Developer, and Enterprise.
B) InfoSphere BigInsights offers great value to organizations that are dealing with Internet-scale volumes (peta bytes) of data that exists in many different formats.
C) InfoSphere BigInsights helps organizations quickly build and deploy custom analytics and workloads to capture insight from big data that can then be integrated into existing database, data warehouse, and business intelligence infrastructures.
D) InfoSphere BigInsights facilitates the installation, integration, and monitoring of Hadoop systems.

2. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
C) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
D) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.

3. For maximum stability, the recommended number of dedicated hosts in order to implement the high availability configuration for BigInsights (consisting of the HA manager, the NameNode, and the JobTracker) is:

A) 4
B) 3
C) 1
D) 2

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) Typically, data stored in Hadoop environments is cleaned up before storing in the distributed file-system.
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) 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.

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