A graph is a tree if and only if:

There are no cycles in the graph, and it is connected.

Every pair of vertices in the graph is connected by exactly one edge.

The graph contains a single cycle.

There is a unique path between every pair of vertices in the graph.

Suppose you have a graph represented as an adjacency list in Python. A key-value pair represents an edge from the key vertex to the value vertex. Which of the following Python code snippets does not return the correct number of vertices in the graph?

sum(len(adj_list) for adj_list in graph.values())

Suppose you have a graph represented as an adjacency list in Python. Which of the following Python code snippets returns the number of edges in the graph?

sum(len(adj_list) for adj_list in graph.values())

sum(len(adj_list) for adj_list in graph.keys())

sum(len(adj_list) for adj_list in graph.values()) + len(graph)

Which of the following code snippets correctly creates an instance of the Triangle class and calculates its area?

sides = [3, 4, 5] triangle = Triangle(sides) result = triangle.area()

sides = [3, 4, 5] triangle = Triangle() result = triangle.area(sides)

sides = [3, 4, 5] triangle = Shape(sides) result = triangle.area()

sides = [3, 4, 5] triangle = Shape() result = triangle.area(sides)

Which of the following statements accurately describes class inheritance in Python?

Inheritance is a mechanism that allows a class to inherit attributes and methods from another class, creating a hierarchical relationship between them.

Inheritance allows a class to inherit attributes and methods from multiple parent classes simultaneously.

Inheritance can only apply to a base class and a child class. The base class cannot be inherited from other (parent) classes.

Inheritance is only applicable to built-in classes in Python and cannot be used with user-defined classes.

What is the purpose of the try-except block?

It is used to handle and recover from exceptions that may occur during code execution.

It is used to define a block of code that will always be executed in a different scope.

It is used to specify code that should be executed in a predefined order.

It is used to improve code performance by avoiding exception handling.

The following function def f(n): i = 0 while i < n: yield 2 * i i += 1

returns the first n even numbers.

is an infinite loop because the while statement does not have a stopping condition.

generates all integers smaller than n.

generates even numbers smaller than n.

The following recursive function takes a single parameter h (a list) and def g(h): if len(h) == 0: return [[]] else: i = g(h[1:]) return i + [[h[0]] + x for x in i]

returns the set of all possible subsets of h.

returns the first half of the list.

returns every other element in the original list, starting from the element at index 1.

What is the purpose of a sliding window in Python?

To calculate the sum of a subarray with a fixed length.

To efficiently search for a specific element in a list.

To sort a list in ascending order.

To remove duplicates from a sequence.

What is the purpose of the subplots() function in Matplotlib?

To create multiple subplots within a single figure.

To adjust the subplot spacing and margins.

To save the figure as an image file.

To create a secondary axis for a specific plot.

In the given Matplotlib example, how can you change the color of the bars to green?

Use the set_facecolor() method on the bar objects.

Use the color parameter in the bar() function.

Use the set_color() method on the bar objects.

Use the color parameter in the show() function.

What does the xlabel() function in the example code do?

Creates a legend for the x-axis for the plot.

Adjusts the figure size of the plot.

What is a dependency in the context of task scheduling?

A task that relies on the completion of another task before it can be executed.

A task that is executed after all other tasks.

A task that can be executed concurrently with other tasks.

A task that has a fixed start and end time.

What is the purpose of a topological sorting algorithm in task scheduling with dependencies?

To determine the order in which tasks should be executed based on their dependencies.

To determine the total execution time of all tasks.

To find the task with the longest duration.

To calculate the critical path of the project.

What is the main difference between a generator and a function in Python?

Generators can produce values one at a time in a loop, while functions must produce all values at once.

Generators can produce multiple values, while functions can only produce one value.

Generators can be called anywhere, while functions can only be called where they are defined.

Generators can accept parameters, while functions cannot.

What is the main difference between a generator expression and a list comprehension?

List comprehensions return the entire list, and the generator expression returns only the generator object

Generator expressions can only be used for numerical calculations, while list comprehensions can be used for any type of data.

Generator expressions use square brackets, while list comprehensions use parentheses.

During the process of recursion, each recursive call:

Allocates new variables in memory

Returns a result to the calling function

In a recursive function, what happens if there is no explicit termination condition?

The function will infinitely loop by calling itself

The function will immediately return a result

The function will throw an exception

The function will modify the parameters passed to it

Which option describes the concept of a class method?

A method that can only be called by the class itself

A method that can only be called by class instances

A method that can only be accessed by class variables

A method that can only be accessed by object instances

Practice python Questions!

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40 questions

Show all answers

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given a custom Python class A, how can we make class A abstract?

custom Python classes are always abstract

specify the "abstract" keyword in one of its methods

specify "raise NotImplemented()" in one of its methods

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given a custom Python class A and subclasses B, C, and D that all contain a method op() with the same code. Where would be the preferred class to specify the method op() and its implementation?

include op() only in A

include op() in B, C, and D

no preferred location

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Given a custom Python class A and its subclasses B, C, and D, where all four classes contain a method op(). How can we ensure that the method op() in class A cannot be executed:

make the method op() in class A abstract

we don't need to do anything in particular

it's not possible to do this

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Given a custom Python class A and this code snippet: myobj1 = A() x = myobj1 + 7 y = 7 + myobj1 We can ensure that the preceding statements succeed by:

implementing the __add__() method

implementing the __radd__() method

no need for extra code

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Queues are useful for the following types of use cases:

scheduling tasks for execution (e.g., processes)

checking if expressions contain balanced parentheses

almost any type of use case involving trees

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Stacks are useful for the following types of use cases:

handling prefix and postfix expressions

checking if expressions contain balanced parentheses

almost any type of use case involving trees

MULTIPLE SELECT QUESTION

45 sec • 1 pt

A custom Python generator will:

include the yield keyword

be more efficient in terms of memory usage

does not have particular advantages

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Practice python Questions!

Given a custom Python class A, how can we make class A abstract?

Given a custom Python class A and subclasses B, C, and D that all contain a method op() with the same code. Where would be the preferred class to specify the method op() and its implementation?

Given a custom Python class A and its subclasses B, C, and D, where all four classes contain a method op(). How can we ensure that the method op() in class A cannot be executed:

Given a custom Python class A and this code snippet: myobj1 = A() x = myobj1 + 7 y = 7 + myobj1 We can ensure that the preceding statements succeed by:

Queues are useful for the following types of use cases:

Stacks are useful for the following types of use cases:

A custom Python generator will:

Algorithms for graphs typically restrict graphs so that they:

An acyclic graph is a graph without:

A graph is a tree if and only if:

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