• Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Certification Provider: Hortonworks
  • Corresponding Certification:HDP Certified Developer
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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

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


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

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


3. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
B) Never. Combiners and reducers must be implemented separately because they serve different purposes.
C) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
D) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
E) When the signature of the reduce method matches the signature of the combine method.


4. Which one of the following statements describes a Hive user-defined aggregate function?

A) Operates on a single input row and produces a single row as output
B) Operates on a single input row and produces a table as output
C) Operates on multiple input rows and creates a single row as output
D) Operates on multiple input rows and produces a table as output


5. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best
describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and
C?

A) The file can be accessed if at least one of the data nodes storing the file is available.
B) Each data node locks the local file to prohibit concurrent readers and writers of the file.
C) The file will be marked as corrupted if data node B fails during the creation of the file.
D) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: C
Question # 5
Answer: A

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