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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. Which of the following compression algorithms is used by InfoSphere BigInsights to provide an additional compression option over the ones that come with the base Hadoop distribution?

A) lzo.
B) brzip2.
C) gzip.
D) lza.

2. What is Big SQL?

A) Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.
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 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.

3. How do existing applications usually connect to InfoSphere BigInsights using the Big SQL feature?

A) Applications will connect using custom made connectors programmed in SPL.
B) Applications will connect using standard JDBC and ODBC drivers that come with InfoSphere BigInsights.
C) Applications will connect using the JAQL programming language.
D) Applications will connect using either HiveQL or Pig programming languages.

4. InfoSphere BigInsights offers the following benefits to your organization, EXCEPT:

A) It cuts costs by providing an efficient compression algorithm based on row level compression using a dictionary to store repetitive patterns.
B) It integrates data from a variety of structured and unstructured sources.
C) It enables analysis at scale.
D) It complements your existing infrastructure by extending your data collection and analysis capabilities.

Solutions: