What is the main difference between concurrency and parallelism?
Rust Programming 2023 - A Comprehensive Course for Beginners - Data Races in Rust

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Concurrency requires multiple processors, while parallelism does not.
Concurrency involves tasks running at the same time, while parallelism involves tasks overlapping in time.
Concurrency involves tasks overlapping in time, while parallelism involves tasks running at the same time.
Concurrency and parallelism are the same concepts.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to understand the difference between concurrency and parallelism?
To ensure tasks are always completed in a specific order.
To effectively utilize computing resources and avoid confusion.
To make programming more difficult.
To ensure all tasks run on a single processor.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a data race in concurrent programming?
When two threads communicate with each other.
When two threads access the same memory location simultaneously without synchronization.
When a program runs slower than expected.
When a single thread accesses multiple memory locations at once.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Rust help prevent data races?
By ensuring only one thread can access an object at a time.
By using a single-core processor.
By allowing multiple threads to access an object simultaneously.
By ignoring data races during compile time.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of compile-time checks in Rust?
To slow down the compilation process.
To ensure that operations on objects are correct.
To increase the number of data races.
To allow incorrect operations on objects.
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