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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following options contains the main components of Hadoop? (Choose three)

A) MapReduce framework.
B) Hadoop Distributed File System (HDFS).
C) Hadoop Common.
D) Text Analytics.

2. What is Big SQL?

A) Big SQL is a feature in BigInsights that provides a SQL like interface to data contained in Hbase tables only. Other data sources in HDFS mustbe accessed via other means such as HiveQL.
B) Big SQL is a feature in BigInsights that allows for native SQL query access for Hadoop, providing full ANSI SQL 92 compliance and standardSQL syntax such as joins, for data contained in a variety of formats such as structured Hive tables, Hbase tables, or csv and other delimitedfiles in HDFS.
C) Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.
D) Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.

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) Text Analytics.
D) Adaptive MapReduce.

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

A) 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.
B) The Text Analytics component only extracts information from structured data stored in a relational database.
C) 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.
D) 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.

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