MC	Given a list of following HBase commands:<br><br><code style="font-family: Courier New;"><b>hbase(main) :001:0> create 'students', 'name', 'studentid'<br>hbase(main) :002:0> put 'students', 'seppe', 'name:first', 'Seppe'<br>hbase(main) :003:0> put 'students', 'seppe', 'name:last', 'vanden Broucke'<br>hbase(main) :004:0> put 'students', 'seppe', 'studentid', '0123456'<br>hbase(main) :005:0> put 'students', 'seppe', 'studentid', '0111111'<br>hbase(main) :006:0> get 'students', 'seppe', {COLUMNS => ['studentid'], VERSIONS => 2}</b></code><br><br>What will be returned by that last command?	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294279739, value = 0123456</td></tr></table>	incorrect	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294282057, value = 0111111</td></tr></table>	correct	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294282057, value = 0111111</td></tr><tr><td>studentid:</td><td>studentid:&nbsp;&nbsp;timestamp = 1495294279739, value = 0123456</td></tr></table>	incorrect	None of the above	incorrect	
MC	Given a list of following HBase commands:<br><br><code style="font-family: Courier New;"><b>hbase(main) :001:0> create 'students', 'name', 'studentid'<br>hbase(main) :002:0> put 'students', 'seppe', 'name:first', 'Seppe'<br>hbase(main) :003:0> put 'students', 'seppe', 'name:last', 'vanden Broucke'<br>hbase(main) :004:0> put 'students', 'seppe', 'studentid', '0123456'<br>hbase(main) :005:0> put 'students', 'seppe', 'studentid', '0111111'<br>hbase(main) :006:0> get 'students', 'seppe', {COLUMNS => ['studentid'], VERSIONS => 2}</b></code><br><br>What will be returned by that last command?	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294279739, value = 0123456</td></tr></table>	incorrect	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294282057, value = 0111111</td></tr></table>	correct	<table><tr><th>COLUMN</th><th>CELL</b></tr><tr><td>studentid:</td><td>timestamp = 1495294282057, value = 0111111</td></tr><tr><td>studentid:</td><td>studentid:&nbsp;&nbsp;timestamp = 1495294279739, value = 0123456</td></tr></table>	incorrect	None of the above	incorrect	
MC	Which statement is CORRECT?	Spark SQL exposes DataFrame and Dataset APIs which underlyingly use RDDs together with a performant SQL query engine.	correct	Hive queries run much faster than hand-written MapReduce programs.	incorrect	MLlib is based on the MapReduce pipeline.	incorrect	Reducer workers in Hadoop will start once all mapper workers have fished.	incorrect	
MC	Which statement is CORRECT?	Pig is a programming language that can be used to query HDFS data.	incorrect	Spark SQL provides DataFrames as a data abstraction on top of RDDs. However, it is not fit to work with JDBC. 	incorrect	The YARN ApplicationMaster contains a scheduler which will hold submitted jobs in a queue until they are deemed ready to start.	incorrect	A mapper in Hadoop maps each element in a collection to one or more output elements.	correct	
MC	Which statement is NOT CORRECT?	In MapReduce, the reducing can start before the mappers have finished.	incorrect	A MapReduce program can be implemented in an easy, straightforward manner.	correct	Hadoop Common is a set of shared programming libraries used by other modules.	incorrect	Hadoop's MapReduce is mainly Java-based.	incorrect	
MC	Which statement is NOT CORRECT?	RDDs represent an abstract, immutable data structure.	incorrect	RDDs offer failure protection by tracking the lineage of operations that are applied on them.	incorrect	RDDs allow for two forms of operations: transformations and actions.	incorrect	RDDs are structured and represent a collection of columnar objects.	correct	
MC	Which of the following is not one of the reasons why Spark programs are generally faster than MapReduce operations?	Because Mesos can be used as a resource manager instead of YARN.	correct	Because RDD transformations are "lazily" applied.	incorrect	Because Spark uses a directed acyclic graph instead of MapReduce.	incorrect	Because Spark tries to keep its RDDs in memory as long as possible.	incorrect	
MC	Which statement is CORRECT?	The Hive compiler takes the query, turns it into a syntax tree and then into an undirected, cyclic graph.	incorrect	RDDs represent an abstract, immutable data structure.	correct	In HDFS, DataNodes wil only respond when called upon by the NameNode.	incorrect	The original idea behind Big Data technologies is to provide extensive query facilities.	incorrect	
MC	Which statement is CORRECT?	The HDFS NameNode sends regular heartbeat messages to its DataNodes.	incorrect	HDFS is composed of a NameNode, DataNodes, and an optional SecondaryNameNode.	correct	Both the SecondaryNameNode and primary NameNode can simultaneously handle requests from clients.	incorrect	DataNodes in HDFS store a registry of metadata.	incorrect	
MC	Which statement is NOT CORRECT?	Hive offers a JDBC interface.	incorrect	Spark SQL can be used through ODBC and JDBC interfaces.	incorrect	Apache Spark doesn't enforce a relatively linear and fixed data flow structure. 	correct	A mapper in Hadoop maps each element in a collection to one or more output elements.	incorrect