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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Which of the following statements most accurately describes the relationship between MapReduce and Pig?

A) Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose processing not provided by MapReduce.
B) Pig provides the additional capability of allowing you to control the flow of multiple MapReduce jobs.
C) Pig provides additional capabilities that allow certain types of data manipulation not possible with MapReduce.
D) Pig provides no additional capabilities to MapReduce. Pig programs are executed as MapReduce jobs via the Pig interpreter.

2. How does the NameNode detect that a DataNode has failed?

A) The NameNode periodically pings the datanode. If the DataNode does not respond, the NameNode considers the DataNode as failed.
B) The NameNode does not need to know that a DataNode has failed.
C) When the NameNode fails to receive periodic heartbeats from the DataNode, it considers the DataNode as failed.
D) When HDFS starts up, the NameNode tries to communicate with the DataNode and considers the DataNode as failed if it does not respond.

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 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.
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 threw an unhandled exception. A killed task attempt is one that was terminated by the JobTracker.

4. Your client application submits a MapReduce job to your Hadoop cluster. The Hadoop framework looks for an available slot to schedule the MapReduce operations on which of the following Hadoop computing daemons?

A) NameNode
B) JobTracker
C) TaskTracker
D) DataNode
E) Secondary NameNode

5. What happens in a MapReduce job when you set the number of reducers to zero?

A) Setting the number of reducers to zero is invalid, and an exception is thrown.
B) No reducer executes, but the outputs of all the mappers are gathered together and written to a single file in HDFS.
C) No reducer executes, but the mappers generate no output.
D) No reducer executes, and the output of each mapper is written to a separate file in HDFS.

Solutions: