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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Hadoop environments are optimized for:

A) Processing transactions (random access).
B) Intensive calculation with little data.
C) Low latency data access.
D) Batch processing on large files.

2. What is Hadoop?

A) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
D) Hadoop is a universal Big Data programming language used to query large datasets.

3. How do big data solutions interact with the existing enterprise infrastructure?

A) Big data solutions works in parallel and together with the existing enterprise infrastructure, where pre-existing connectors are used to integrate big data technologies together with other enterprise solutions.
B) Big data solutions must substitute the existing enterprise infrastructure; therefore there is no interaction between them.
C) Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it does not interact with existing infrastructure.
D) Big data solutions are only plug-ins and additions to existing data warehouses, and therefore cannot work with any other enterprise infrastructure.

Solutions: