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  1. AP Computer Science Principles
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What does the following code output?

python
from math import ceil

number = 4.2
result = ceil(number)
print(result)

5

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What does the following code output?

python
from math import ceil

number = 4.2
result = ceil(number)
print(result)

5

Identify the error in the following code:

python
import random

number = random.randit(1, 10)
print(number)

The function randint is misspelled as randit. It should be corrected to randint.

What does the following code output?

python
from math import pi

print(pi)

3.141592653589793

Identify the error in the following code:

python
from math import log

number = -5
result = log(number)
print(result)

The math.log() function will raise a ValueError because it is being called with a negative number, which is not allowed for natural logarithms.

What does the following code output?

python
from math import pow

result = pow(2, 3)
print(result)

8.0

Identify the error in the following code:

python
import statistics

data = [1, 2, '3', 4, 5]
result = statistics.mean(data)
print(result)

The statistics.mean() function will raise a TypeError because the list data contains a string element ('3') while it expects numerical values.

What does the following code output?

python
from random import random

print(random())

A pseudo-random floating point number between 0.0 and 1.0.

Identify the error in the following code:

python
from math import factorial

number = 5.5
result = factorial(number)
print(result)

The math.factorial() function will raise a ValueError because it only accepts non-negative integer arguments, not floats.

What does the following code output?

python
from math import floor

number = 5.9
result = floor(number)
print(result)

5

Identify the error in the following code:

python
from math import exp

number = 'ten'
result = exp(number)
print(result)

The math.exp() function will raise a TypeError because it expects a numerical argument, not a string.

How is the random library applied in real-world scenarios?

Generating random numbers for simulations, games, cryptography, and statistical sampling.

How is data abstraction applied in real-world scenarios?

Operating systems hide complex hardware interactions, providing a simplified user interface.

How are control structures applied in real-world scenarios?

Traffic light systems use selection (if/else) to control traffic flow based on sensor data.

How are APIs applied in real-world scenarios?

Social media platforms provide APIs for developers to integrate their applications with the platform's data and functionality.

How is cybersecurity applied in real-world scenarios?

Banks use encryption and multi-factor authentication to protect customer data and prevent unauthorized access to accounts.

How is data representation applied in real-world scenarios?

Images are represented as arrays of pixel values to be displayed on screens.

How is algorithm design applied in real-world scenarios?

Search engines use complex algorithms to rank web pages based on relevance and other factors.

How is the math library applied in real-world scenarios?

Engineering simulations use mathematical functions to model physical phenomena.

How is the concept of the digital divide relevant in education?

Students without access to computers and the internet at home may face disadvantages in completing assignments and accessing online resources.

How are data structures applied in real-world scenarios?

Social networks use graph data structures to represent relationships between users.

What are the steps to debug a Python program?

  1. Identify the error. 2. Reproduce the error. 3. Isolate the cause. 4. Fix the error. 5. Test the solution.

What are the steps to design an algorithm?

  1. Define the problem. 2. Brainstorm possible solutions. 3. Choose the best approach. 4. Write pseudocode. 5. Implement the code. 6. Test and debug.

What are the steps to use a library in Python?

  1. Identify the required library. 2. Import the library. 3. Call the library's functions. 4. Use the returned results.

What are the steps to test a program?

  1. Plan test cases. 2. Write test code. 3. Run tests. 4. Analyze results. 5. Debug and repeat.

What are the steps to implement data abstraction?

  1. Identify complex details. 2. Create a simplified interface. 3. Hide implementation. 4. Provide access through the interface.

What are the steps to mitigate the digital divide?

  1. Increase access to technology. 2. Provide digital literacy training. 3. Lower internet costs. 4. Support community technology centers.

What are the steps to ensure cybersecurity?

  1. Implement firewalls. 2. Use strong passwords. 3. Regularly update software. 4. Educate users about phishing. 5. Monitor network traffic.

What are the steps to analyze algorithm efficiency?

  1. Identify key operations. 2. Count operation frequency. 3. Express as a function of input size. 4. Determine growth rate (Big O).

What are the steps to choose the right data structure?

  1. Understand data requirements. 2. Consider operations needed. 3. Evaluate time complexity. 4. Evaluate space complexity. 5. Select the best fit.

What are the steps to use an API?

  1. Read API documentation. 2. Understand API endpoints. 3. Make requests to API. 4. Handle API responses. 5. Integrate data into application.