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

1. Indentify the utility that allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?

A) Sqoop
B) Flume
C) Hadoop Streaming
D) Oozie
E) mapred

2. Table metadata in Hive is:

A) Stored along with the data in HDFS.
B) Stored in the Metastore.
C) Stored in ZooKeeper.
D) Stored as metadata on the NameNode.

3. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Receives the same block reports as the active NameNode.
B) Runs on the same machine and shares the memory of the active NameNode.
C) Communicates directly with the active NameNode to maintain the state of the active NameNode.
D) Processes all client requests and block reports from the appropriate DataNodes.

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

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

5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A) Yes, so long as both tables fit into memory.
B) Yes.
C) No, MapReduce cannot perform relational operations.
D) No, but it can be done with either Pig or Hive.
E) Yes, but only if one of the tables fits into memory

Solutions: