Cloudera CCD-333 : Cloudera Certified Developer for Apache Hadoop

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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question #1

You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, Intwritable values. Which interface should your class implement?

A. Reducer <Text, Text, IntWritable, IntWritable>
B. Reducer <Text, IntWritable, Text, IntWritable>
C. Combiner <Text, IntWritable, Text, IntWritable>
D. Combiner <Text, Text, IntWritable, IntWritable>
E. Mapper <Text, IntWritable, Text, IntWritable>

Question #2

In a large MapReduce job with m mappers and r reducers, how many distinct copy operations will there be in the sort/shuffle phase?

A. m
B. mr (i.e., m to the power of r)
C. r
D. mxr (i.e., m multiplied by r)
E. m+r (i.e., m plus r)

Question #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 class MyJar.jar MyDriverClass inputdir outputdir
B. jar MyJar.jar MyDriverClass inputdir outputdir
C. hadoop jar MyJar.jar MyDriverClass inputdir outputdir
D. jar MyJar.jar

Question #4

What is a Writable?

A. Writable is an interface that all keys and values in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
B. Writable is an interface that all keys, but not values, in MapReduce must implement. Classes implementing this interface must implement methods for serializing and deserializing themselves.
C. Writable is an abstract class that all keys and values in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves
D. Writable is an abstract class that all keys, but not values, in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves.

Question #5

What types of algorithms are difficult to express MapReduce?

A. Text analysis algorithms on large collections of unstructured text (e.g., Web crawls).
B. Algorithms that requite global, shared state.
C. Large-scale graph algorithms that require one-step link traversal.
D. Relational operations on large amounts of structured and semi structured data.
E. Algorithms that require applying the same mathematical function to large numbers of individual binary records.

Solutions: