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1. What is a lambda function in Python?
   - A lambda function is an anonymous function defined using the lambda keyword, which can take any number of arguments but can only have one expression.

2. How do you define a lambda function in Python?
   - The syntax for defining a lambda function is: lambda arguments: expression

3. What is the purpose of using lambda functions?
   - Lambda functions are used to create small, one-line functions without a name that can be used as arguments in higher-order functions.

4. Can a lambda function have multiple expressions?
   - No, a lambda function can only have a single expression.

5. How do you call a lambda function?
   - You can call a lambda function just like any other function by using its name followed by parentheses, passing the required arguments.

6. What is the difference between a lambda function and a regular function?
   - Lambda functions are anonymous and can only have one expression, while regular functions have a name and can have multiple expressions.

7. Can you assign a lambda function to a variable?
   - Yes, you can assign a lambda function to a variable and use that variable to call the lambda function.

8. What is the benefit of using lambda functions over regular functions?
   - Lambda functions are often used in scenarios where a small function is required for a short period and defining a regular function would be unnecessary and less readable.

9. Can you use lambda functions with map(), filter(), and reduce() functions?
   - Yes, lambda functions are commonly used with these higher-order functions to perform operations on iterables.

10. How do you sort a list using a lambda function?
    - You can use the sorted() function and pass a lambda function as the key parameter to define the sorting criteria.

11. Can lambda functions have default arguments?
    - No, lambda functions cannot have default arguments. They can only have the arguments specified in their definition.

12. How do you pass lambda functions as arguments to other functions?
    - You can directly pass a lambda function as an argument to other functions, similar to passing regular functions.

13. Can you use lambda functions to define recursive functions?
    - No, lambda functions are limited to single expressions and cannot be used to define recursive functions.

14. How do you create a lambda function that takes multiple arguments?
    - You can specify multiple arguments separated by commas in the argument list of a lambda function.

15. Can you use lambda functions to modify global variables?
    - No, lambda functions are limited to their own scope and cannot modify global variables directly.

16. How do you return a lambda function from another function?
    - You can simply return the lambda function from the enclosing function, and it can be assigned to a variable or called directly.

17. Can you use lambda functions with conditional statements?
    - Yes, you can use conditional expressions within a lambda function to perform different operations based on conditions.

18. How do you access variables from the enclosing scope inside a lambda function?
    - Lambda functions can access variables from the enclosing scope, similar to regular functions, using closures.

19. Can lambda functions raise exceptions?
    - Yes, lambda functions can raise exceptions just like regular functions.

20. What are the limitations of lambda functions in Python?
    - Lambda functions are limited to single expressions, cannot contain statements or annotations, and are generally less readable for complex operations compared to regular functions.