Q.1
Drill is designed from the ground up to support high-performance analysis on the ____________ data.
  • a) semi-structured
  • b) structured
  • c) unstructured
  • d) none of the mentioned
Q.2
Point out the correct statement.
  • a) Drill provides plug-and-play integration with existing Apache Hive
  • b) Developers can use the sandbox environment to get a feel for the power and capabilities of Apache Drill by performing various types of queries
  • c) Drill is inspired by Google Dremel
  • d) None of the mentioned
Q.3
___________ includes Apache Drill as part of the Hadoop distribution.
  • a) Impala
  • b) MapR
  • c) Oozie
  • d) All of the mentioned
Q.4
MapR __________ Solution Earns Highest Score in Gigaom Research Data Warehouse Interoperability Report.
  • a) SQL-on-Hadoop
  • b) Hive-on-Hadoop
  • c) Pig-on-Hadoop
  • d) All of the mentioned
Q.5
Point out the wrong statement.
  • a) Hadoop is a prerequisite for Drill
  • b) Drill tackles rapidly evolving application driven schemas and nested data structures
  • c) Drill provides a single interface for structured and semi-structured data allowing you to readily query JSON files and HBase tables as easily as a relational table
  • d) All of the mentioned
Q.6
Drill integrates with BI tools using a standard __________ connector.
  • a) JDBC
  • b) ODBC
  • c) ODBC-JDBC
  • d) All of the mentioned
Q.7
Drill analyze semi-structured/nested data coming from _________ applications.
  • a) RDBMS
  • b) NoSQL
  • c) NewSQL
  • d) None of the mentioned
Q.8
Apache _________ provides direct queries on self-describing and semi-structured data in files.
  • a) Drill
  • b) Mahout
  • c) Oozie
  • d) All of the mentioned
Q.9
Drill provides a __________ like internal data model to represent and process data.
  • a) XML
  • b) JSON
  • c) TIFF
  • d) None of the mentioned
Q.10
Drill also provides intuitive extensions to SQL to work with _______ data types.
  • a) simple
  • b) nested
  • c) int
  • d) all of the mentioned
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