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IBM 000-N32 Exam Syllabus Topics:

IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. In regards of InfoSphere Streams, Which of the following options is CORRECT?

A) InfoSphere Streams is a powerful analytic computing platform capable of gathering large quantities of data, manipulating the data, and storing it on disk.
B) InfoSphere Streams is web administration graphical user interface (GUI) capable of setting up a secure communication channel to stream post-processed data from a Hadoop cluster into a relational database, such as IBM DB2.
C) InfoSphere Streams is a powerful analytic computing platform capable of analyzing data in real time with micro-latency.
D) InfoSphere Streams is an extract, transform, and load (ETL) platform that is capable of integrating small volumes of data across a wide variety of data sources and target applications.

2. Which of the following options contains the main components of Hadoop? (Choose three)

A) Apache Commons.
B) Text Analytics.
C) MapReduce framework.
D) Hadoop Distributed File System (HDFS).

3. 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.

4. InfoSphere Data Explorer accommodates data variety through (choose three):

A) Sophisticated security mapping, including cross-domain and field-level security.
B) Broad connectivity to a wide range of data management systems and applications.
C) Support for new ?virtual multi-dimensional node? technology capable of aggregating documents created from multiple sources or tables.
D) Federated connectivity in the cloud and on-premise.

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