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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What type of task is best suited for threading?
💡 Hint: Think about tasks that involve waiting for input or output operations.
Question 2
Easy
What does GIL stand for?
💡 Hint: It’s a term related to Python and concurrency.
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 an advantage of using threading for I/O-bound tasks?
- Faster execution
- Utilizes multiple CPU cores
- Simplifies task management
💡 Hint: Think about why concurrency is beneficial for tasks waiting for input.
Question 2
Using multiprocessing allows us to bypass which limitation of Python?
- True
- False
💡 Hint: Consider what limits execution in Python.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with developing a web scraper that fetches multiple pages at once to collect data. Would you use threads or multiprocessing, and why?
💡 Hint: Look for evidence of waiting for data rather than processing.
Question 2
You are designing a program that performs large scale matrix multiplications. What concurrency model would be appropriate, and how would you implement it?
💡 Hint: Assess the load on the CPU during heavy computations.
Challenge and get performance evaluation