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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