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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Which of the following best describes the map method input and output?

A) It accepts a single key-value pair as input and can emit any number of key-value pairs as output, including zero.
B) It accepts a single key-value pair as input and can emit only one key-value pair as output.
C) It accepts a single key-value pair as input and emits a single key and list of corresponding values as output
D) It accepts a list of key-value pairs as input hut run emit only one key value pair as output.

2. Which of the Following best describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process all records in a single input split.
B) The TaskTracker spawns a new Mapper to process each key-value pair.
C) The JobTracker calls the FastTracker's configure () method, then its map () method and finally its closer ()
D) The JobTracker spawns a new Mapper to process all records in a single file.

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

4. Workflows expressed in Oozie can contain:

A) Iterative repetition of MapReduce jobs until a desired answer or state is reached.
B) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with exception handlers but no forks.
C) Sequences of MapReduce jobs only; no Pig or Hive tasks or jobs. These MapReduce sequences can be combined with forks and path joins.
D) Sequences of MapReduce and Pig. These sequences can be combined with other actions including forks, decision points, and path joins.

5. Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?

A) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
B) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
C) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
D) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.

Solutions: