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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. 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 key-value pairs in the jobconf object.
C) As a custom input key-value pair passed to each mapper or reducer.
D) Using a plain text file via the Distributedcache, which each mapper or reducer reads.

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

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

3. You are running a job that will process a single InputSplit on a cluster which has no other jobs currently running. Each node has an equal number of open Map slots. On which node will Hadoop first attempt to run the Map task?

A) The node with the most free local disk space
B) The node with the most memory
C) The node on which this InputSplit is stored
D) The node with the lowest system load

4. 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 no content until the whole file is written and closed.
C) They would see the content of the file through the last completed block.
D) They would see the current state of the file, up to the last bit written by the command.

5. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper that uses TextInputForma and splits each value (a line of text from an input file) into individual characters. For each one of these characters, you will emit the character as a key and as IntWritable as the value. Since this will produce proportionally more intermediate data than input data, which resources could you expect to be likely bottlenecks?

A) Processor and RAM
B) Processor and disk I/O
C) Processor and network I/O
D) Disk I/O and network I/O

Solutions: