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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is HADOOP?

A) Hadoop is a single-node file system used as a base for storing traditional formatted data.
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 a universal Big Data programming language used to query large datasets.
D) Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.

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 statements is NOT CORRECT?

A) InfoSphere Streams supports both command line and graphical interfaces to administer the
B) InfoSphere Streams provides support for reuse of existing Java or C++ code, as well as Predictive Model Markup Language (PMML) models.
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.

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

Solutions: