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Cloudera Certified Developer for Apache Hadoop Sample Questions:

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

A) 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.
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 provide a mechanism for different mappers to communicate with each Other, thereby reducing synchronization overhead.
D) 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.

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

3. Which two of the following are valid statements? (Choose two)

A) HDFS is optimized for storing a large number of files smaller than the HDFS block size.
B) HDFS is a distributed file system that replaces ext3 or ext4 on Linux nodes in a Hadoop cluster.
C) HDFS is a distributed file system that runs on top of native OS filesystems and is well suited to storage of very large data sets.
D) HDFS has the Characteristic of supporting a "write once, read many" data access model.

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

5. 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.

Solutions: