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最新的 HDP Certified Developer HADOOP-PR000007 免費考試真題:

1. Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int,
zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?

A) STORE B INTO 'myoutput';
B) STORE A INTO 'myoutput' USING PigStorage(',');
C) DUMP B using PigStorage('myoutput');
D) DUMP B INTO 'myoutput';

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

A) 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.
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) 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.
D) 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.

3. Which one of the following is NOT a valid Oozie action?

A) pig
B) mrunit
C) hive
D) mapreduce

4. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best
describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and
C?

A) The file will be marked as corrupted if data node B fails during the creation of the file.
B) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
C) The file can be accessed if at least one of the data nodes storing the file is available.
D) Each data node locks the local file to prohibit concurrent readers and writers of the file.

5. 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

問題與答案：