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NEW QUESTION: 1
In which two scenarios do you use SQL* Loader to load data?
A. Load data into multiple tables during the same load statement.
B. Transform the data while it is being loaded into the database.
C. Use transparent parallel processing without having to split the external data first.
D. Generate unique sequential key values in specified columns.
Answer: B,D
Explanation:
You can use SQL*Loader to do the following:
/ (A) Manipulate the data before loading it, using SQL functions.
/ (D) Generate unique sequential key values in specified columns.
etc:
/ Load data into multiple tables during the same load session.
/ Load data across a network. This means that you can run the SQL*Loader client on a different
system from the one that is running the SQL*Loader server.
/ Load data from multiple datafiles during the same load session.
/Specify the character set of the data.
/ Selectively load data (you can load records based on the records' values).
/Use the operating system's file system to access the datafiles.
/ Load data from disk, tape, or named pipe.
/ Generate sophisticated error reports, which greatly aid troubleshooting.
/ Load arbitrarily complex object-relational data.
/ Use secondary datafiles for loading LOBs and collections.
/ Use either conventional or direct path loading. While conventional path loading is very flexible,
direct path loading provides superior loading performance.
Note:
* SQL*Loader loads data from external files into tables of an Oracle database. It has a powerful data parsing engine that puts little limitation on the format of the data in the datafile.

NEW QUESTION: 2
You are working on a Sales Order Processing with Collective Billing (BKZ) process in SAP S/4HANA Cloud.
Which of the following process steps in standard sales processing confirms the shipment of goods?
Response:
A. Post goods issue
B. Create delivery
C. Create billing document
D. Execute picking
Answer: A

NEW QUESTION: 3

A. All at Once
B. Immutable
C. Rolling
D. Rolling with additional batch
Answer: D
Explanation:
Explanation
Rolling with Additional Batch deployment helps maintain full capacity by launching new instances, testing them before the existing ones are replaced. The process is performed in batches which can be controlled to keep the costs down with minimal outage.

NEW QUESTION: 4
Given:
class Fibonacci extends RecursiveTask<Integer> {
final int n;
Fibonacci (int n) { this.n = n }
Integer compute () {
if (n <= 1)
return n;
Fibonacci f1 = new Fibonacci (n - 1);
f1.fork;
Fibonacci f2 = new Fibonacci (n - 2);
return f2.compute() + f1.join; // Line **
}
}
Assume that line ** is replaced with:
return f1.join() + f2.compute(); // Line **
What is the likely result?
A. The program produces the correct result, with similar performance to the original.
B. The program produces an incorrect result.
C. An exception is thrown at runtime.
D. The program goes into an infinite loop.
E. The program produces the correct result, with better performance than the original.
F. Explanation:
Changing the code is not useful. In the original code (return f2.compute() + f1.join; )
f1 and f2 are run in parallel. The result is joined.
With the changed code (return f1.join() + f2.compute();) f1 is first executed and finished, then is f2
executed.
Note 1:The join method allows one thread to wait for the completion of another.
If t is a Thread object whose thread is currently executing,
G. The program produces the correct result, with performance degraded to the equivalent of being single-threaded.
Answer: G
Explanation:
join();
causes the current thread to pause execution until t's thread terminates.
Note 2:New in the Java SE 7 release, the fork/join framework is an implementation of the
ExecutorService interface that helps you take advantage of multiple processors. It is designed for
work that can be broken into smaller pieces recursively. The goal is to use all the available
processing power to enhance the performance of your application.
As with any ExecutorService, the fork/join framework distributes tasks to worker threads in a
thread pool. The fork/join framework is distinct because it uses a work-stealing algorithm. Worker
threads that run out of things to do can steal tasks from other threads that are still busy.
Reference: The Java Tutorials,Joins,Fork/Join