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Cloudera Certified Developer for Apache Hadoop Sample Questions:

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 running on the same machine can communicate with each other through shared memory, but not reducers on different machines.
D) Yes, reducers can communicate with each other by dispatching intermediate key value pairs that get shuffled to another reduce

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

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

3. 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.

4. Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?

A) Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
B) Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
C) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
D) Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.

5. Your Custer's HOFS block size is 64MB. You have a directory containing 100 plain text files, each of which Is 100MB in size. The InputFormat for your job is TextInputFormat. How many Mappers will run?

A) 200
B) 640
C) 100
D) 64

Solutions: