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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. In a traditional Hadoop stack, which of the following components provides data warehouse infrastructure and allows SQL developers and business analysts to leverage their existing SQL skills?

A) Text analytics.
B) Zookeeper.
C) Hive.
D) Avro.

2. 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) 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.
D) Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is
well suited to deal with semi-structured and unstructured data, as well as when a data discovery
process is needed.

3. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

A) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
B) Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
C) Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.
D) Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.

4. Which of the following options are CORRECT (Choose two)?

A) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
B) InfoSphere Streams perform complex analytics on data at rest.
C) Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
D) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.

Solutions: