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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Which one of the following is NOT a valid Oozie action?

A) pig
B) mapreduce
C) mrunit
D) hive

2. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) A new table named mytable is created, and the contents of myothertable are copied into mytable
B) The contents of myothertable are appended to mytable
C) Any existing data in mytable will be overwritten
D) The statement is not a valid Hive command

3. You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?

A) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
B) Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
C) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
D) No, because the Reducer and Combiner are separate interfaces.
E) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.

4. MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.

A) Job scheduling/monitoring
B) Managing file system metadata
C) MapReduce metric reporting
D) Resource management
E) Launching tasks
F) Heath states checks (heartbeats)
G) Job coordination between the ResourceManager and NodeManager
H) Managing tasks

5. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and C?

A) The file will be marked as corrupted if data node B fails during the creation of the file.
B) The file can be accessed if at least one of the data nodes storing the file is available.
C) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
D) Each data node locks the local file to prohibit concurrent readers and writers of the file.

Solutions: