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Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

2. Your Custer's HOFS block size is 64MB. You have a directory containing 100 plain text files, each of which Is 100MB in size. The InputFormat for your job is TextInputFormat. How many Mappers will run?

A) 200
B) 640
C) 100
D) 64

3. What is the standard configuration of slave nodes in a Hadoop cluster?

A) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
B) Each slave node runs a TaskTracker and a DataNode daemon.
C) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
D) Each slave node runs a JobTracker and a DataNode daemon.
E) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.

4. 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.

5. You use the hadoop fs -put command to write a 300 MB file using an HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this file?

A) They would see Hadoop throw an concurrentFileAccessException when they try to access this file.
B) They would see the current state of the file, up to the last bit written by the command.
C) They would see the content of the file through the last completed block.
D) They would see no content until the whole file is written and closed.

Solutions: