Mapr (HP) Hadoop Developer Certification Questions and Answers (Dumps and Practice Questions)

Question : Which of the following is a responsibility of reducer ?



1. Shuffling the intermediate data

2. Sorting intermediate data

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4. 1,2

5. 1,2,3

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Explanation: Shuffle and sorting of intermediate result is a responsibility of Hadoop Framework itself.




Question : The total number of Partitions generated by Hadoop Framework is same as number of reducers

1. True
2. False

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Explanation:




Question : Select the correct statement


1. To save output of a Job on MapReduce needs to be configured at a Job Level

2. Before starting the Job Output Directory must not exists

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4. 1,2

5. 1,2,3

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Explanation:

Related Questions

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Question :

Select the correct code snippet which implements the WritableComparable correctly for a pair of Strings




1. 1
2. 2
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Question :

If you have 100 files of size 100MB and block size is of 64MB then how many maps will run?




1. 100
2. 200
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4. Between 100 and 200


Question :

If you want to use a file in distributed cache then in which method should you read it?



1. map
2. run
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4. setup


Question : From the Acmeshell.com website you have you're all the data stored
in Oracle database table called MAIN.PROFILES table. In HDFS you already
have your Apache WebServer log file stored called users_activity.log .
Now you want to combine/join both the data users_activity.log file and MAIN.PROFILES
table. Initailly, you want to import the table data from the database
into Hive using Sqoop with the delimeter (;) and column order remain same.
Now select the correct MapReduce code snippet which can produce the csv file,
so that we can load the output of MapReduce job in the Hive table created
in above steps called PROFILE.

1. 1
2. 2
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4. 4


Question : As part of HadoopExam consultency team, you have been given a requirement by a Hotel to create
a GUI application, so all the hotel's sales or booking you will add and edit the customer information, and you dont want to spend the
money on enterprise RDBMS, hence decided simple file as a storage and considered the csv file. So HDFS is the better choice for
storing such information in the file.

1. No, because HDFS is optimized for read-once, streaming access for relatively large files.
2. No, because HDFS is optimized for write-once, streaming access for relatively large files.
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4. Yes, because HDFS is optimized for write-once, streaming access for relatively large files.


Question : Please identify the statement which can correctly describe the use of RAM, of the NameNode

1. To store filenames, initial 100 lines from the each stored file in HDFS.
2. To store filenames, and while reading the file work as a buffer.
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4. To store filenames, list of blocks but no metadata.