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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. InfoSphere BigInsights supports the following types of authentication, EXCEPT:

A) Kerberos authentication
B) Flat File.
C) LDAP authentication
D) PAM authentication.

2. Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A) MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
B) MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
C) MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
D) MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.

3. Which of the following methods can be used by Cognos to connect with InfoSphere BigInsights? (Choose two)

A) Connection via the SPL JDBC driver.
B) Connection via the Pig JDBC driver.
C) Connection via the Hive JDBC driver.
D) Connection via the Big SQL JDBC driver.

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

A) 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.
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 only extracts information from structured data stored in a relational database.
D) 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.

Solutions: