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1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?
A) At least 500.
B) At most 500.
C) Exactly 500.
D) It depends on the number of reducers in the job.
E) Between 500 and 1000.
2. When is the reduce method 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) 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.
C) 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.
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.
3. What is the difference between a failed task attempt and a killed task attempt?
A) A failed task attempt is a task attempt that completed, but with an unexpected status value. A killed task attempt is a duplicate copy of a task attempt that was started as part of speculative execution.
B) A failed task attempt is a task attempt that threw a RuntimeException (i.e., the task fails). A killed task attempt is a task attempt that threw any other type of exception (e.g., IOException); the execution framework catches these exceptions and reports them as killed.
C) A failed task attempt is a task attempt that did not generate any key value pairs. A killed task attempt is a task attempt that threw an exception, and thus killed by the execution framework.
D) A failed task attempt is a task attempt that threw an unhandled exception. A killed task attempt is one that was terminated by the JobTracker.
4. What is the standard configuration of slave nodes in a Hadoop cluster?
A) Each slave node runs a TaskTracker, but only a fraction of the slave nodes run DataNode daemons.
B) Each slave node runs a DataNode daemon, but only a fraction of the slave nodes run TaskTrackers.
C) Each slave node runs a JobTracker and a DataNode daemon.
D) Each slave node either runs a TaskTracker or a DataNode daemon, but not both.
E) Each slave node runs a TaskTracker and a DataNode daemon.
5. You have written a Mapper which invokes the following five calls to the outputcollector.collect method:
How many times will the Reducer's reduce method be invoked.
A) 5
B) 3
C) 0
D) 1
E) 6
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: E | Question # 5 Answer: B |
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