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

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

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

2. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop MyDrive -D mapred.job.name=Example input output
B) hadoop setproperty mapred.job.name=Example MyDriver input output
C) hadoop MyDriver mapred.job.name=Example input output
D) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
E) hadoop "mapred.job.name=Example" MyDriver input output

3. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?

A) They would see no content until the whole file written and closed.
B) They would see the current of the file through the last completed block.
C) They would see the current state of the file, up to the last bit written by the command.
D) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.

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

5. Which one of the following statements regarding the components of YARN is FALSE?

A) A Container executes a specific task as assigned by the ApplicationMaster
B) The ResourceManager is responsible for scheduling and allocating resources
C) A client application submits a YARW job to the ResourceManager
D) The ResourceManager monitors and restarts any failed Containers

Solutions: