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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define concurrency in your own words.
💡 Hint: Think about overlapping tasks versus sequential execution.
Question 2
Easy
What is the purpose of the GIL in Python?
💡 Hint: Consider why memory safety might require such a restriction.
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 main purpose of the GIL in Python?
- To allow multiple threads to run at once
- To prevent race conditions
- To ensure memory safety
💡 Hint: Consider what issues could arise without it.
Question 2
Can threading be effectively used for CPU-bound tasks in Python?
- True
- False
💡 Hint: Think about how threads are limited in execution.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a system that uses both threading and multiprocessing to manage real-time data processing and explain your architectural choices.
💡 Hint: Consider how to segregate tasks based on their characteristics.
Question 2
Illustrate a scenario where using concurrent.futures would significantly reduce the complexity of thread management. Provide code examples.
💡 Hint: Think about how easy the interface makes handling multiple requests.
Challenge and get performance evaluation