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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. 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 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 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.

2. You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:

A) You will have twelve failed task attempts
B) You will have twenty failed task attempts
C) You will have five failed task attempts
D) You will have forty-eight failed task attempts
E) You will have seventeen failed task attempts

3. You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?

A) Decrease the block size on all current files in HDFS.
B) Increase the block size on your remaining files.
C) Increase the amount of memory for the NameNode.
D) Decrease the block size on your remaining files.
E) Increase the number of disks (or size) for the NameNode.
F) Increase the block size on all current files in HDFS.

4. In a MapReduce job, the reducer receives all values associated with same key. Which statement best describes the ordering of these values?

A) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering.
B) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.
C) The values are in sorted order.
D) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.

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

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

Solutions: