Hortonworks HADOOP-PR000007 real exam prep : Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. Review the following 'data' file and Pig code.

Which one of the following statements is true?

A) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
B) The code executes successfully but there is not output because the D relation is empty
C) The code does not execute successfully because D is not a valid relation
D) The output of the dump d command is (M, {(38,95in),(62,95i02)})

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

A) 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).
B) 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.
C) 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.
D) 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.

3. Which Hadoop component is responsible for managing the distributed file system metadata?

A) NameNode
B) DataNode
C) NameSpaceManager
D) Metanode

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

5. What does the following WebHDFS command do?
Curl -1 -L "http://host:port/webhdfs/v1/foo/bar?op=OPEN"

A) Delete a directory /foo/bar
B) Make a directory /foo/bar
C) Read a file /foo/bar
D) List a directory /foo

Solutions: