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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. Your cluster has 10 DataNodes, each with a single 1 TB hard drive. You utilize all your disk capacity for HDFS, reserving none for MapReduce. You implement default replication settings. What is the storage capacity of your Hadoop cluster (assuming no compression)?

A) about 3 TB
B) about 11 TB
C) about 10 TB
D) about 5 TB

2. What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?

A) Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
B) As a custom input key-value pair passed to each mapper or reducer.
C) Using a plain text file via the Distributedcache, which each mapper or reducer reads.
D) As key-value pairs in the jobconf object.

3. What is a Writable?

A) 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.
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 and values in MapReduce must extend. Classes extending this abstract base class must implement methods for serializing and deserializing themselves
D) 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.

4. In the reducer, the MapReduce API provides you with an iterator over Writable values. Calling the next () method:

A) Returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.
B) Returns a reference to a different Writable object each time.
C) Returns a reference to the same writable object if the next value is the same as the previous value, or a new writable object otherwise.
D) Returns a reference to the same writable object each time, but populated with different data.
E) Returns a reference to a Writable object from an object pool.

5. Which two of the following are valid statements? (Choose two)

A) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
B) HDFS is optimized for storing a large number of files smaller than the HDFS block size.
C) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
D) HDFS has the Characteristic of supporting a "write once, read many" data access model.

Solutions: