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NEW QUESTION: 1
Which must result in the destruction of a stateful session bean?
A. The stateful session bean is chosen as a last recently used (LRU) victim for passivation.
B. The server in which the stateful session bean was created is restarted.
C. A client calls an @Remove method and the method returns successfully.
D. The stateful session bean participates in a transaction that is rolled back.
Answer: C
Explanation:
While in the ready stage, the EJB container may decide to deactivate, or passivate, the bean by moving it from memory to secondary storage. (Typically, the EJB container uses a least-recently-used algorithm to select a bean for passivation.) The EJB container invokes the method annotated @PrePassivate, if any, immediately before passivating it. If a client invokes a business method on the bean while it is in the passive stage, the EJB container activates the bean, calls the method annotated @PostActivate, if any, and then moves it to the ready stage.
Note:
At the end of the lifecycle, the client invokes a method annotated @Remove, and the EJB container calls the method annotated @PreDestroy, if any. The bean's instance is then ready for garbage collection.
*When a stateful bean is passivated, the instance fields are read and then written to the secondary storage associated with the EJB object. When the stateful session bean has been successfully passivated, the instance is evicted from memory; it is destroyed.
*When a passivated bean instance times out or when a client invokes the method marked with @Remove, the container may destroy the bean. Before destroying, the container will invoke the method annotated with @PreDestroy.
Reference:The Java EE 6 Tutorial,The Lifecycles of Enterprise Beans
NEW QUESTION: 2
A person is said to be in ________ act, when the business which he transacts, or the money or property which he handles, is not for his own benefit, but for another person:
A. Conversion
B. Embezzlement
C. Fiduciary Capacity
D. None of the above
Answer: C
NEW QUESTION: 3
You are designing an extract, transform, load (ETL) process for loading data from a SQL Azure database into a large fact table in a data warehouse each day with the prior day's sales data.
The ETL process for the fact table must meet the following requirements:
* Load new data in the shortest possible time.
* Remove data that is more than 36 months old.
* Minimize record locking.
* Minimize impact on the transaction log.
You need to design an ETL process that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Partition the fact table by date. Use partition switching and staging tables both to remove old data and to load new data.
B. Partition the fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.
C. Partition the fact table by date. Use partition switching and a staging table to remove old data. Insert new data directly into the fact table.
D. Partition the fact table by customer. Use partition switching both to remove old data and to load new data into each partition.
Answer: A
