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Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

2. What is the behavior of the default partitioner?

A) The default partitioner computes the hash of the key and divides that value modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
B) The default partitioner assigns key value pairs to reducers based on an internal random number generator.
C) The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key value pair.
D) The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
E) The default partitioner implements a round robin strategy, shuffling the key value pairs to each reducer in turn. This ensures an even partition of the key space.

3. Custom programmer-defined counters in MapReduce are:

A) Lightweight devices for synchronization within MapReduce programs. You can use counters to coordinate execution between a mapper and a reducer.
B) Lightweight devices for bookkeeping within MapReduce programs.
C) Lightweight devices for ensuring the correctness of a MapReduce program. Mappers Increment counters, and reducers decrement counters. If at the end of the program the counters read zero, then you are sure that the job completed correctly.

4. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys, Intwritable values. Which interface should your class implement?

A) Combiner <Text, Text, IntWritable, IntWritable>
B) Mapper <Text, IntWritable, Text, IntWritable>
C) Reducer <Text, IntWritable, Text, IntWritable>
D) Combiner <Text, IntWritable, Text, IntWritable>
E) Reducer <Text, Text, IntWritable, IntWritable>

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

A) One intermediate key value pair, of a different type.
B) As many intermediate key-value pairs as desired, but they cannot be of the same type as the input key-value pair.
C) One intermediate key value pair, but of 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, as long as all the keys have the same type and all the values have the same type.

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