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Cloudera Certified Developer for Apache Hadoop Sample Questions:

1. All keys used for intermediate output from mappers must do which of the following:

A) Override isSplitable
B) Be a subclass of Filelnput-Format
C) Be compressed using a splittable compression algorithm.
D) Implement WritableComparable
E) Use a comparator for speedy sorting

2. Combiners Increase the efficiency of a MapReduce program because:

A) They provide an optimization and reduce the total number of computations that are needed to execute an algorithm by a factor of n, where is the number of reducer.
B) They aggregate intermediate map output locally on each individual machine and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
C) They aggregate intermediate map output horn a small number of nearby (i.e., rack-local) machines and therefore reduce the amount of data that needs to be shuffled across the network to the reducers.
D) They provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.

3. In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?

A) Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
B) Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
C) Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
D) Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.

4. In a MapReduce job, the reducer receives all values associated with the same key. Which statement is most accurate about the ordering of these values?

A) The values are in sorted order.
B) The values are arbitrarily ordered, but multiple runs of the same MapReduce job will always have the same ordering.
C) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job.
D) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted values.

5. What happens in a MapReduce job when you set the number of reducers to zero?

A) No reducer executes, but the outputs of all the mappers are gathered together and written to a single file in HDFS.
B) No reducer executes, but the mappers generate no output.
C) No reducer executes, and the output of each mapper is written to a separate file in HDFS.
D) Setting the number of reducers to zero is invalid, and an exception is thrown.

Solutions: