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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:

1. How is data stored in a Hadoop cluster?

A) The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster.
B) The data converted into a single block, and the block is stored in just one of the servers in the Hadoop cluster.
C) The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but the blocks are not replicated.
D) The data is converted into a single block, and copies of this block are replicated across multiple servers in the Hadoop cluster.

2. What is Big SQL?

A) 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.
B) 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.
C) Big SQL is a feature in Data Explorer that allows for indexing of data from SQL sources such as data warehouses.
D) Big SQL is a feature in Streams that allows for real time analysis of data via standard SQL syntax.

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

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

4. What are the "Vs"that characterize IBM Big Data initiative?

A) Variety, Versions, Velocity, Volatility
B) Veracity, Variety, Volume, Velocity
C) Volume, Volatility, Velocity, Variety
D) Velocity, Volatility, Variety, Veracity

Solutions: