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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

Does the MapReduce programming model provide a way for reducers to communicate with each other?

A. No, each reducer runs independently and in isolation.
B. Yes, all reducers can communicate with each other by passing information through the jobconf object.
C. Yes, reducers can communicate with each other by dispatching intermediate key value pairs that get shuffled to another reduce
D. Yes, reducers running on the same machine can communicate with each other through shared memory, but not reducers on different machines.

Question 2

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

Question 3

You've written a MapReduce job that will process 500 million input records and generate 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reducers which is a potential bottleneck. A custom implementation of which of the following interfaces is most likely to reduce the amount of intermediate data transferred across the network?

A. Writable
B. InputFormat
C. WritableComparable
D. Partitioner
E. Combiner
F. OutputFormat

Question 4

You have a large dataset of key-value pairs, where the keys are strings, and the values are integers. For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this, can you take advantage of a combiner?

A. Yes.
B. Yes, but the number of unique keys must be known in advance.
C. No, a combiner would not be useful in this case.
D. Yes, as long as all the integer values that share the same key fit into memory on each node.
E. Yes, as long as all the keys fit into memory on each node.

Question 5

For each input key-value pair, mappers can emit:

A. One intermediate key value pair, but of the same type.
B. One intermediate key value pair, of a different type.
C. As many intermediate key value pairs as desired, as long as all the keys have the same type and all the values have the same type.
D. As many intermediate key-value pairs as desired. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
E. As many intermediate key-value pairs as desired, but they cannot be of the same type as the input key-value pair.

Solutions: