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NEW QUESTION: 1
AWSクラウドのどの機能が、すべての顧客への低レイテンシーに対する国際企業の要件をサポートしますか?
A. 従量課金制
B. 高可用性
https://aws.amazon.com/blogs/startups/expanding-kloudlesss-global-reach-by-bridging-regions/
C. フォールトトレランス
D. グローバルリーチ
Answer: D

NEW QUESTION: 2
You are reviewing an existing Windows application that uses .NET Framework 4.
When the user clicks a button, the application sequentially processes thousands of image files contained in a directory. The user interface becomes unresponsive while the application processes the files.
You have the following requirements:
Modify the button's click event.
Increase application throughput by processing multiple image files concurrently.
Ensure that the user interface remains responsive while the application processes the image files.
You need to recommend an approach for meeting the requirements.
What should you recommend?
A. Iterate over the image files by using the Parallel.ForEach() method. For each image file, start a separate thread that processes the image file, by using the Thread.Start() method.
B. Iterate over the image files. For each image file, use the Process.Start() method to launch a console application that processes the image file.
C. Use the Parallel.ForEach() method to process the images concurrently.
D. Use the ThreadPool.QueueUserWorkItem() method to queue up a single work item that uses the Parallel.ForEach () method to process the image files concurrently.
Answer: D

NEW QUESTION: 3
A SysOps Administrator must ensure that AWS CloudFormation deployment changes are properly tracked for governance.
Which AWS service should be used to accomplish this?
A. AWS Config
B. AWS Artifact
C. AWS Trusted Advisor
D. Amazon Inspector
Answer: A

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 an incorrect result.
B. The program produces the correct result, with better performance than the original.
C. 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,
D. The program produces the correct result, with similar performance to the original.
E. An exception is thrown at runtime.
F. The program goes into an infinite loop.
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