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Cloudera CCD-333 Exam Syllabus Topics:

Cloudera Certified Developer for Apache Hadoop Sample Questions:

Question 1

To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What is the best way to accomplish this?

A. Place the data file in theDistributedCacheand read the data into memory in the configure method of the mapper.
B. Serialize the data file, insert it in the Jobconf object, and read the data into memory in the configure method of the mapper.
C. Place the datafile in the DataCache and read the data into memory in the configure method ofthe mapper.
D. Place the data file in theDistributedCacheand read the data into memory in the map method of the mapper.

Question 2

During the standard sort and shuffle phase of MapReduce, keys and values are passed to reducers. Which of the following is true?

A. Keys are presented to a reducer in soiled order; values for a given key are sorted in ascending order.
B. Keys are presented to a reducer in sorted order; values for a given key are not sorted.
C. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
D. Keys are presented to a reducer in random order; values for a given key are not sorted.

Question 3

If you run the word count MapReduce program with m mappers and r reducers, how many output files will you get at the end of the job? And how many key-value pairs will there be in each file? Assume k is the number of unique words in the input files.

A. There will be m files, each with exactly k/m key value pairs.
B. There will be r files, each with approximately k/r key-value pairs.
C. There will be r files, each with approximately k/m key-value pairs.
D. There will be r files, each with exactly k/r key-value pairs.
E. There will be m files, each with approximately k/m key-value pairs.

Question 4

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.

Question 5

What is a SequenceFile?

A. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
B. A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
C. A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
D. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.

Solutions: