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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is HADOOP?

A) Hadoop is a universal Big Data programming language used to query large datasets.
B) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
C) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
D) Hadoop is a single-node file system used as a base for storing traditional formatted data.

2. What is the purpose of IBM InfoSphere Streams Studio?

A) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run MapReduce jobs for
virtualized applications.
B) IBM InfoSphere Streams Studio provides an integrated, modular environment for database
development and administration of DB2 databases,
Informix, and other non-IBM databases.
C) IBM InfoSphere Streams Studio is an Eclipse-ready tool that enables you to create, edit,
visualize, test, debug, and run Streams Processing
Language (SPL) and SPL mixed-mode applications.
D) IBM InfoSphere Streams Studio improves performance and cuts costs by providing expert
advice on writing high quality queries and improving
database design.

3. What is good fit for Hadoop Distributed File System (HDFS)?

A) Multiple writers accessing the same file.
B) Lots of small files.
C) Applications requiring low latency data access.
D) Applications requiring high throughput of data.

4. Streams jobs can be monitored using the following tools (choose three):

A) Streams Studio.
B) Streams universal web management interface.
C) Streams console.
D) Streamtool command.

Solutions: