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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. 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 a reducer in random 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 reducer in sorted order; values for a given key are not sorted.

2. For each intermediate key, each reducer task can emit:

A) One final key-value pair per value associated with the key; no restrictions on the type.
B) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.
C) One final key-value pair per key; no restrictions on the type.
D) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
E) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).

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) There is no difference in output between the two settings.
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) 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.
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.

4. All keys used for intermediate output from mappers must:

A) Be a subclass of FileInputFormat.
B) Implement a comparator for speedy sorting.
C) Implement WritableComparable.
D) Implement a splittable compression algorithm.
E) Override isSplitable.

5. Which one of the following Hive commands uses an HCatalog table named x?

A) SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
B) Hive commands cannot reference an HCatalog table
C) SELECT * FROM x;
D) SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');

Solutions: