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最新的 CCDH CCD-410 免費考試真題:

1. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there be in the sort/shuffle phase?

A) m
B) n
C) mXn (i.e., m multiplied by n)
D) mn (i.e., m to the power of n)
E) m+n (i.e., m plus n)

2. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) You will not be able to compress the intermediate data.
B) There are no concerns with this approach. It is always advisable to use multiple reduces.
C) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
D) You will longer be able to take advantage of a Combiner.

3. You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just after this command has finished writing 200 MB of this file, what would another user see when trying to access this life?

A) They would see no content until the whole file written and closed.
B) They would see the current of the file through the last completed block.
C) They would see the current state of the file, up to the last bit written by the command.
D) They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.

4. The Hadoop framework provides a mechanism for coping with machine issues such as faulty configuration or impending hardware failure. MapReduce detects that one or a number of machines are performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and the task finish first are used. This is called:

A) Speculative Execution
B) Default Partitioner
C) IdentityMapper
D) IdentityReducer
E) Combine

5. Determine which best describes when the reduce method is first called in a MapReduce job?

A) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
B) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
C) Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
D) Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.

問題與答案：