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

1. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Reduce complexity of the MapReduce APIs.
B) HDFS latency.
C) Standardize on a single MapReduce API.
D) Resource pressure on the JobTracker.
E) Single point of failure in the NameNode.
F) Ability to run frameworks other than MapReduce, such as MPI.

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

A) The reduce method is invoked once for each unique 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 Mapper must sort its output of (key.value) pairs in descending order based on value

3. For each input key-value pair, mappers can emit:

A) One intermediate key-value pair, of a different type.
B) As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
C) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
D) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
E) One intermediate key-value pair, but of the same type.

4. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

A) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
B) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
C) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
D) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
E) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.

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

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

Solutions: