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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

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

2. How do enterprises leverage big data platforms?

A) By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.
B) By isolating workloads into a single node, and further processing all the data in sequence.
C) By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.
D) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.

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

A) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
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 vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

4. Which of the following statements is NOT CORRECT?

A) InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
B) InfoSphere Streams supports both command line and graphical interfaces to administer the
C) InfoSphere Streams jobs must be coded using either HiveQL or Jaql languages.
D) InfoSphere Streams supports communications to Internet Protocol version 6 (IPv6) networks.

Solutions: