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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. What does Pig provide to the overall Hadoop solution?

A) C++ interface to MapReduce and data warehouse infrastructure
B) Database table and storage management services
C) Legacy language Integration with MapReduce framework
D) Simple scripting language for writing MapReduce programs

2. The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:

A) IdentityReducer
B) Combine
C) Speculative Execution
D) IdentityMapper
E) Default Partitioner

3. Given the following Hive command:

Which one of the following statements is true?

A) The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
B) The files in the mydata folder do not move from their current location In HDFS
C) The files in the mydata folder are copied into Hive's underlying relational database
D) The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse

4. Which describes how a client reads a file from HDFS?

A) The client queries all DataNodes in parallel. The DataNode that contains the requested data responds
directly to the client. The client reads the data directly off the DataNode.
B) The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode
that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then
from the NameNode to the client.
C) The client queries the NameNode for the block location(s). The NameNode returns the block location(s)
to the client. The client reads the data directory off the DataNode(s).
D) The client contacts the NameNode for the block location(s). The NameNode then queries the
DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects
the client to the DataNode that holds the requested data block(s). The client then reads the data directly
off the DataNode.

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

Solutions: