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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. What is a Writable?

A) 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
B) 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.
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.

2. Which of the following statements best describes how a large (100 GB) file is stored in HDFS?

A) The master copy of the file is stored on a single datanode. The replica copies are divided into fixed-size blocks, which are stored on multiple datanodes.
B) The file is replicated three times by default. Eachcopy of the file is stored on a separate datanodes.
C) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default.HDFS guarantees that different blocks from the same file are never on the same datanode.
D) The file is divided into variable size blocks, which are stored on multiple data nodes. Each block is replicated three times by default.
E) The file is divided into fixed-size blocks, which are stored on multiple datanodes. Each block is replicated three times by default. Multiple blocks from the same file might reside on the same datanode.

3. 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 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.
B) 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.
C) 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.
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.

4. For each intermediate key, each reducer task can emit:

A) One final key value pair per key; no restrictions on the type.
B) As many final key value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous)
C) One final key-value pair per value associated with the key; no restrictions on the type.
D) As many final key-value pairs as desired, as long as all the keys have the same type and all the values have the same type.
E) As many final key-value pairs as desired, but they must have the same type as the intermediate key-value pairs.

5. In a MapReduce job, you want each of you 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) Increase the parameter that controls minimum split size in the job configuration.
B) Write a custom FileInputFormat and override the method isSplittable to always return false.
C) Set the number of mappers equal to the number of input files you want to process.
D) Write a custom MapRunner that iterates over all key-value pairs in the entire file.

Solutions: