Practice Concurrent and Parallel Programming Paradigm - 4.7 | 4. Programming Paradigms (Procedural, Object-Oriented, Functional, etc.) | Advanced Programming
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4.7 - Concurrent and Parallel Programming Paradigm

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the difference between concurrency and parallelism?

💡 Hint: Think about whether tasks are done at the same time or just managed at the same time.

Question 2

Easy

Name one advantage of concurrent programming.

💡 Hint: Consider how tasks interact.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary difference between concurrency and parallelism?

  • Concurrency means tasks are done at the same time.
  • Parallelism involves overlapping tasks.
  • Concurrency is about managing multiple tasks
  • while parallelism is about executing them simultaneously.

💡 Hint: Think about whether tasks can overlap or must be done at the same time.

Question 2

True or False: Multithreading can help improve program performance.

  • True
  • False

💡 Hint: Consider how servers handle multiple requests.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple thread-safe program in Python that increments a shared variable from multiple threads without race conditions. Explain your code.

💡 Hint: Think about how to restrict access while avoiding deadlocks.

Question 2

Imagine a scenario where you need to fetch data from a database and process it. Propose how you'd leverage both asynchrony and multithreading in your implementation.

💡 Hint: Factor in the nature of I/O operations versus computational tasks.

Challenge and get performance evaluation