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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. You want to Ingest log files Into HDFS, which tool would you use?

A) HCatalog
B) Flume
C) Sqoop
D) Ambari

2. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
B) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
C) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
D) When the signature of the reduce method matches the signature of the combine method.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

3. Which one of the following statements is FALSE regarding the communication between DataNodes and a
federation of NameNodes in Hadoop 2.0?

A) Each DataNode registers with all the NameNodes.
B) DataNodes send periodic heartbeats to all the NameNodes.
C) Each DataNode receives commands from one designated master NameNode.
D) DataNodes send periodic block reports to all the NameNodes.

4. What does the following command do? register '/piggyban):/pig-files.jar';

A) Transforms Pig user-defined functions into a format that Hive can accept
B) Invokes the user-defined functions contained in the jar file
C) Specifies the location of the JAR file containing the user-defined functions
D) Assigns a name to a user-defined function or streaming command

5. Which one of the following statements is true regarding a MapReduce job?

A) The Mapper must sort its output of (key.value) pairs in descending order based on value
B) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
C) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
D) The reduce method is invoked once for each unique value

Solutions: