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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. When is the reduce method first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
C) Reducers start copying intermediate key value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
D) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.

2. To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.
B) Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.
C) Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
D) Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.

3. What is a Writable?

A) 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.
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 interface that all keys and values in MapReduce must implement. Classes implementing this interface 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.

4. 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 homogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.

5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated file in HDFS.

A) Yes, but only if one of the tables fits into memory.
B) No, MapReduce cannot perform relational operations.
C) Yes, so long as both tables fit into memory.
D) No, but it can be done with either Pig or Hive.
E) Yes.

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