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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. In a MapReduce job, you want each of your input files processed by a single map task. How do you configure a MapReduce job so that a single map task processes each input file regardless of how many blocks the input file occupies?

A) Increase the parameter that controls minimum split size in the job configuration.
B) Write a custom FileInputFormat and override the method isSplitable to always return false.
C) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
D) Set the number of mappers equal to the number of input files you want to process.

2. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?

A) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
B) It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
C) It returns a reference to the same Writable object each time, but populated with different data.
D) It returns a reference to a Writable object from an object pool.
E) It returns a reference to a different Writable object time.

3. 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, 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.
B) 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.
C) 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.
D) There is no difference in output between the two settings.

4. On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?

A) The location of the InsputSplit to be processed in relation to the location of the node.
B) The number and speed of CPU cores on the TaskTracker node.
C) The average system load on the TaskTracker node over the past fifteen (15) minutes.
D) The amount of free disk space on the TaskTracker node.
E) The amount of RAM installed on the TaskTracker node.

5. What does the following command do?
register '/piggyban):/pig-files.jar';

A) Invokes the user-defined functions contained in the jar file
B) Assigns a name to a user-defined function or streaming command
C) Specifies the location of the JAR file containing the user-defined functions
D) Transforms Pig user-defined functions into a format that Hive can accept

Solutions: