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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. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

A) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
B) There is no difference in output between the two settings.
C) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
D) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.

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

A) 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.
B) 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.
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 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.

3. Which Two of the following statements are true about hdfs? Choose 2 answers

A) HDFS works best when storing a large number of relatively small files
B) Blocks are replicated to multiple datanodes
C) An HDFS file that is larger than dfs.block.size is split into blocks
D) Block sizes for all files must be the same size

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

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

5. Which two of the following are true about this trivial Pig program' (choose Two)

A) myfile is read from the user's home directory in HDFS
B) ABC has a schema associated with it
C) The contents of myfile appear on stdout
D) Pig assumes the contents of myfile are comma delimited

Solutions: