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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. Which of the following options are CORRECT (Choose two)?

A) Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
B) 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.
C) The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
D) InfoSphere Streams perform complex analytics on data at rest.

2. Which of the following options is CORRECT?

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

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

4. Which of the following options is NOT CORRECT?

A) Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn?t nearly as effective as a larger set of data from which to derive analysis.
B) Big data solutions are ideal for analyzing not only raw structured data, but semi- structured and unstructured data from a wide variety of sources.
C) Big data solutions are ideal for Online Transaction Analytical Process (OLTP) environments.
D) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.

Solutions: