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| Section | Objectives |
|---|---|
| Apache Hive | - HiveQL Query Language
|
| Apache Pig | - Pig execution model
|
| Hadoop Ecosystem Fundamentals | - HDFS Architecture and Data Storage Concepts
|
| Data Processing and Integration | - Hadoop data formats
|
1. 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) Write a custom MapRunner that iterates over all key-value pairs in the entire file.
B) Write a custom FileInputFormat and override the method isSplitable to always return false.
C) Set the number of mappers equal to the number of input files you want to process.
D) Increase the parameter that controls minimum split size in the job configuration.
2. 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) 1
B) 3
C) 6
D) 0
E) 5
3. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A) configure
B) map
C) combine
D) init
4. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the NameNode? Choose 2 answers
A) JournalNode
B) ZKFailoverController
C) QuorumManager
D) ZooKeeper
5. You wrote a map function that throws a runtime exception when it encounters a control character in input data. The input supplied to your mapper contains twelve such characters totals, spread across five file splits. The first four file splits each have two control characters and the last split has four control characters.
Indentify the number of failed task attempts you can expect when you run the job with mapred.max.map.attempts set to 4:
A) You will have forty-eight failed task attempts
B) You will have five failed task attempts
C) You will have seventeen failed task attempts
D) You will have twelve failed task attempts
E) You will have twenty failed task attempts
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: A,B | Question # 5 Answer: E |
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