A. InfoSphere Streams high availability feature allows for processing elements (PEs) on failing
nodes to be moved and automatically restarted,
with communications re-routed, to a healthy node.

B. InfoSphere Streams optimizes its workload by aggregating an entire job into a single node.

C. InfoSphere Streams is only able to process traditional structured data from a variety of sources.

D. InfoSphere Streams does not allow you to dynamically add hosts and jobs

A. The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.

B. The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.

C. The data is converted into a single block, and copies of this block 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.

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

C. 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.

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.

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 a powerful analytic computing platform capable of analyzing data in real time with micro-latency.

C. 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.

D. 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.