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NO.1 For each input key-value pair, mappers can emit:
A. One intermediate key-value pair, of a different type.
B. As many intermediate key-value pairs as designed, as long as all the keys have the same types and
all the values have the same type.
C. One intermediate key-value pair, but of the same type.
D. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous).
E. As many intermediate key-value pairs as designed, but they cannot be of the same type as the
input key-value pair.
Answer: B
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Explanation:
Mapper maps input key/value pairs to a set of intermediate key/value pairs.
Maps are the individual tasks that transform input records into intermediate records. The
transformed intermediate records do not need to be of the same type as the input records. A given
input pair may map to zero or many output pairs.
Reference: Hadoop Map-Reduce Tutorial
NO.2 In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A. At least 500.
B. Exactly 500.
C. It depends on the number of reduces in the job.
D. At most 500.
E. Between 500 and 1000.
Answer: A
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Explanation:
From Cloudera Training Course:
Task attempt is a particular instance of an attempt to execute a task
- There will be at least as many task attempts as there are tasks
- If a task attempt fails, another will be started by the JobTracker
- Speculative execution can also result in more task attempts than completed tasks
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Last Update: 2017-04-06
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