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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question 1

Table metadata in Hive is:

A. Stored in ZooKeeper.
B. Stored along with the data in HDFS.
C. Stored in the Metastore.
D. Stored as metadata on the NameNode.

Question 2

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

Question 3

How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A. Keys are presented to reducer in sorted order; values for a given key are not sorted.
B. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
C. Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
D. Keys are presented to a reducer in random order; values for a given key are not sorted.

Question 4

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. 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.
C. There is no difference in output between the two settings.
D. 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.

Question 5

Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

A. ApplicationMaster
B. ApplicationMasterService
C. ResourceManager
D. JobTracker
E. NodeManager
F. TaskTracker

Solutions: