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NEW QUESTION: 1
The buyer decides to automatically update and create sourcing rules, as part of the blanket purchase agreement approval process. However, on clicking the Approve button, the buyer does not see any option to update and create blanket purchase sourcing rules.
Which profile option has the buyer failed to set up?
A. PO: Allow Autocreation of Oracle Sourcing Documents
B. PO: Allow Auto-generate Sourcing Rules
C. MRP: Default Sourcing Assignment Set
D. PO: Automatic Document Sourcing
Answer: B

NEW QUESTION: 2
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. IdentityReducer
B. Default Partitioner
C. Combine
D. IdentityMapper
E. Speculative Execution
Answer: E
Explanation:
Speculative execution: One problem with the Hadoop system is that by dividing the tasks across many nodes, it is possible for a few slow nodes to rate-limit the rest of the program. For example if one node has a slow disk controller, then it may be reading its input at only 10% the speed of all the other nodes. So when 99 map tasks are already complete, the system is still waiting for the final map task to check in, which takes much longer than all the other nodes. By forcing tasks to run in isolation from one another, individual tasks do not know where their inputs come from. Tasks trust the Hadoop platform to just deliver the appropriate input. Therefore, the same input can be processed multiple times in parallel, to exploit differences in machine capabilities. As most of the tasks in a job are coming to a close, the Hadoop platform will schedule redundant copies of the remaining tasks across several nodes which do not have other work to perform. This process is known as speculative execution. When tasks complete, they announce this fact to the JobTracker. Whichever copy of a task finishes first becomes the definitive copy. If other copies were executing speculatively, Hadoop tells the TaskTrackers to abandon the tasks and discard their outputs. The Reducers then receive their inputs from whichever Mapper completed successfully, first.
Reference: Apache Hadoop, Module 4: MapReduce
Note:
*Hadoop uses "speculative execution." The same task may be started on multiple boxes. The first one to finish wins, and the other copies are killed.
Failed tasks are tasks that error out.
*There are a few reasons Hadoop can kill tasks by his own decisions:
a) Task does not report progress during timeout (default is 10 minutes)
b) FairScheduler or CapacityScheduler needs the slot for some other pool (FairScheduler)
or queue (CapacityScheduler).
c) Speculative execution causes results of task not to be needed since it has completed on
other place.
Reference: Difference failed tasks vs killed tasks

NEW QUESTION: 3
企業内では、ITガバナンスは以下に関連しています。
1.企業のIT長期計画と組織の目標の間の調整。
2.ITが組織の戦略と目的を確実にサポートするように設計された会社の組織構造。
3.IT戦略と目的をサポートするために確立された運用計画。
4.ITが組織の戦略と目的をサポートすることを保証する上での会社のリーダーシップの役割。
A. 3と4のみ
B. 1と2のみ
C. 1、2、および4のみ
D. 2、3、および4のみ
Answer: C