IBM Big Data Fundamentals Technical Mastery Test v1 - 000-N32무료 덤프문제 풀어보기

A. The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.

B. Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).

C. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.

D. InfoSphere Streams perform complex analytics on data at rest.

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 gathering large quantities of data, manipulating the data, and storing it on disk.

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 analyzing data in real time with micro-latency.

A. Multiple writers accessing the same file.

B. Applications requiring low latency data access.

C. Applications requiring high throughput of data.

D. Lots of small files.

A. IBM InfoSphere Streams Studio provides an integrated, modular environment for database
development and administration of DB2 databases,
Informix, and other non-IBM databases.

B. 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.

C. IBM InfoSphere Streams Studio improves performance and cuts costs by providing expert
advice on writing high quality queries and improving
database design.

D. 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.