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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

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 require applying the same mathematical function to large numbers of individual binary records.
C. Relational operations on large amounts of structured and semi structured data.
D. Algorithms that requite global, shared state.
E. Large-scale graph algorithms that require one-step link traversal.

Question 2

What is the difference between a failed task attempt and a killed task attempt?

A. A failed task attempt is a task attempt that threw an unhandled exception. A killed task attempt is one that was terminated by the JobTracker.
B. A failed task attempt is a task attempt that threw a RuntimeException (i.e., the task fails). A killed task attempt is a task attempt that threw any other type of exception (e.g., IOException); the execution framework catches these exceptions and reports them as killed.
C. A failed task attempt is a task attempt that did not generate any key value pairs. A killed task attempt is a task attempt that threw an exception, and thus killed by the execution framework.
D. A failed task attempt is a task attempt that completed, but with an unexpected status value. A killed task attempt is a duplicate copy of a task attempt that was started as part of speculative execution.

Question 3

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 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
C. 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.
D. 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.

Question 4

In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A. Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
B. Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
C. Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
D. Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.

Question 5

All keys used for intermediate output from mappers must do which of the following:

A. Override isSplitable
B. Be a subclass of Filelnput-Format
C. Implement WritableComparable
D. Be compressed using a splittable compression algorithm.
E. Use a comparator for speedy sorting

Solutions: