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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) You will not be able to compress the intermediate data.
B) You will longer be able to take advantage of a Combiner.
C) There are no concerns with this approach. It is always advisable to use multiple reduces.
D) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.

2. Table metadata in Hive is:

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

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

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

4. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) TaskTracker
B) Secondary NameNode
C) DataNode
D) JobTracker
E) NameNode

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

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

Solutions: