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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 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.
B) InfoSphere Streams is a powerful analytic computing platform capable of analyzing data in real time with micro-latency.
C) 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.
D) InfoSphere Streams is a powerful analytic computing platform capable of gathering large quantities of data, manipulating the data, and storing it on disk.

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

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

3. Which of the following options is CORRECT?

A) InfoSphere Data Explorer is not able to mirror pre-existing security frameworks, therefore it doesn?t make use of industry-standard authentication and authorization processes already in place.
B) InfoSphere Data Explorer uses a vector-based index for unique search and indexing flexibility.
C) InfoSphere Data Explorer provides powerful navigation capabilities across all the important information stored exclusively into Hadoop Distributed File System in a single view. No other file systems are supported.
D) InfoSphere Data Explorer can find, extract and deliver content regardless of format or where it resides.

4. How is data stored in a Hadoop cluster?

A) The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
B) The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.
C) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
D) The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.

Solutions: