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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) Exactly 500.
B) At least 500.
C) It depends on the number of reducers in the job.
D) At most 500.
E) Between 500 and 1000.

2. You have the following key value pairs as output from your Map task:
(The, 1)
(Fox, 1)
(Runs, 1)
(Faster, 1)
(Than, 1)
(The, 1)
(Dog, 1)
How many keys will be passed to the reducer?

A) One
B) Two
C) Four
D) Six
E) Three
F) Five

3. Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of submitting the job to the cluster?

A) hadoop jar MyJar.jar MyDriverClass inputdir outputdir
B) jar MyJar.jar
C) hadoop jar class MyJar.jar MyDriverClass inputdir outputdir
D) jar MyJar.jar MyDriverClass inputdir outputdir

4. MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):

A) Text mining on a large collections of unstructured documents.
B) Analysis of large amounts of Web logs (queries, clicks, etc.).
C) Online transaction processing (OLTP) for an e-commerce Website.
D) Graph mining on a large social network (e.g., Facebook friends network).

5. If you run the word count MapReduce program with m mappers and r reducers, how many output files will you get at the end of the job? And how many key-value pairs will there be in each file? Assume k is the number of unique words in the input files.

A) There will be r files, each with approximately k/m key-value pairs.
B) There will be m files, each with exactly k/m key value pairs.
C) There will be r files, each with approximately k/r key-value pairs.
D) There will be m files, each with approximately k/m key-value pairs.
E) There will be r files, each with exactly k/r key-value pairs.

Solutions: