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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

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 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.
B) 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.
C) 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.
D) 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.

3. For each input key-value pair, mappers can emit:

A) One intermediate key value pair, of a different type.
B) As many intermediate key-value pairs as desired, but they cannot be of the same type as the input key-value pair.
C) One intermediate key value pair, but of the same type.
D) As many intermediate key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E) As many intermediate key value pairs as desired, as long as all the keys have the same type and all the values have the same type.

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

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

5. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

Solutions: