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1. You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
output.collect (new Text ("Apple"), new Text ("Red") ) ;
output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
output.collect (new Text ("Cherry"), new Text ("Red") ) ;
output.collect (new Text ("Apple"), new Text ("Green") ) ;
How many times will the Reducer's reduce method be invoked?
A) 6
B) 5
C) 1
D) 3
E) 0
2. To use a lava user-defined function (UDF) with Pig what must you do?
A) Pass arguments to the constructor of UDFs implementation class
B) Put the JAR file into the user's home folder in HDFS
C) Define an alias to shorten the function name
D) Register the JAR file containing the UDF
3. Workflows expressed in Oozie can contain:
A) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.
B) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
C) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
D) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
4. 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 FileInputFormat and override the method isSplitable to always return false.
D) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
5. Which of the following tool was designed to import data from a relational database into HDFS?
A) HCatalog
B) Sqoop
C) Flume
D) Ambari
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
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Hadoop 2.0 Certification exam for Pig and Hive Developer
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