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NEW QUESTION: 1
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 better performance than the original.
B. The program produces the correct result, with similar performance to the original.
C. The program goes into an infinite loop.
D. The program produces an incorrect result.
E. An exception is thrown at runtime.
F. The program produces the correct result, with performance degraded to the equivalent of being single-threaded.
Answer: 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,
t.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
NEW QUESTION: 2
You have an Azure Databricks workspace named workspace1 in the Standard pricing tier. Workspace1 contains an all-purpose cluster named cluster1.
You need to reduce the time it takes for cluster1 to start and scale up. The solution must minimize costs.
What should you do first?
A. Configure a global init script for workspace1.
B. Upgrade workspace1 to the Premium pricing tier.
C. Create a cluster policy in workspace1.
D. Create a pool in workspace1.
Answer: D
Explanation:
Databricks Pools increase the productivity of both Data Engineers and Data Analysts. With Pools, Databricks customers eliminate slow cluster start and auto-scaling times. Data Engineers can reduce the time it takes to run short jobs in their data pipeline, thereby providing better SLAs to their downstream teams.
Reference:
https://databricks.com/blog/2019/11/11/databricks-pools-speed-up-data-pipelines.html
NEW QUESTION: 3
The following SAS program is submitted:
data temp;
length 1 b 3 x;
infile 'file reference';
input a b x;
run;
What is the result?
A. The data set TEMP is not created because variables A and B have invalid lengths
B. The data set TEMP is created, but variable X is not created
C. The data set TEMP is not created because variable A has an invalid length
D. The data set TEMP is created and variable X has a length of 8
Answer: C
NEW QUESTION: 4
HOTSPOT
You are developing a SQL Server Integration Services (SSIS) package.
OnError and OnWarning events must be logged for viewing in the built-in SSIS reports by using SQL Server Management Studio.
You need to execute the package and minimize the number of event types that are logged.
Which setting should you use? (To answer, change the appropriate setting in the answer area.)
Answer:
Explanation:
Explanation:
Ref: http://msdn.microsoft.com/en-gb/library/hh231191.aspx