Hortonworks Apache-Hadoop-Developer Actual Tests : Hadoop 2.0 Certification exam for Pig and Hive Developer

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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. For each input key-value pair, mappers can emit:

A) One intermediate key-value pair, of a different type.
B) As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
C) One intermediate key-value pair, but of the same type.
D) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
E) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.

2. Which one of the following statements describes a Pig bag. tuple, and map, respectively?

A) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
B) Ordered set of fields, ordered collection of tuples, ordered collection of maps
C) Unordered collection of tuples, ordered set of fields, set of key value pairs
D) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs

3. Given the following Pig commands:

Which one of the following statements is true?

A) The $1 variable represents the second column of data in 'my.log'
B) The $1 variable represents the first column of data in 'my.log'
C) The grouped relation is not valid
D) The severe relation is not valid

4. Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?

A) Each DataNode receives commands from one designated master NameNode.
B) Each DataNode registers with all the NameNodes.
C) DataNodes send periodic block reports to all the NameNodes.
D) DataNodes send periodic heartbeats to all the NameNodes.

5. Which of the following tool was designed to import data from a relational database into HDFS?

A) Sqoop
B) HCatalog
C) Ambari
D) Flume

Solutions: