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IBM P2090-038 Exam Syllabus Topics:

IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. What does ig Data?represent?What does ?ig Data?represent?

A) A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
B) A concept and platform of technologies with the characteristics of the ? Vs? that is able to handle large amounts of unstructured,semi-structured, and structured raw data unlike traditional systems.
C) A database feature capable of converting pre-existing structured data into unstructured raw data.
D) Only data stored in the BIGDATA table in any relational database.

2. Which of the following options is CORRECT in regards of Text Analytics component?

A) The Text Analytics component is a programming model for processing large data sets, and the name of an implementation of the model by Google. Text Analytics is typically used to do distributed computing on clusters of computers.
B) Jaql is the language for developing text analytics extractors in the InfoSphere BigInsights Text Analytics system. A Jaql extractor is a program written in Jaql that extracts structured information from unstructured or semi-structured text.
C) The Text Analytics component extracts information from unstructured and semi-structured data. By using its components, enterprises can analyze large volumes of text and produce annotated documents that provide valuable insights into unconventionally stored data.
D) The Text Analytics component only extracts information from structured data stored in a relational database.

3. Which of the following InfoSphere BigInsights features provides a vast library of extractors enabling actionable insights from large amounts of native textual data?

A) BigSheets.
B) General Parallel File System.
C) Adaptive MapReduce.
D) Text Analytics.

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

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

Solutions: