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| Section | Weight | Objectives |
|---|---|---|
| Data Structures and Input/Output | 20% | - Basic file handling - Lists, tuples, dictionaries, sets - User input and output operations |
| Variables, Data Types, and Basic Operations | 20% | - Arithmetic operations and type conversion - Variables and assignment - Data types: integers, floats, strings, booleans |
| Functions and Modular Programming | 20% | - Variable scope and code reuse - Parameters, arguments, and return values - Defining and calling functions |
| Loops and Iteration | 20% | - Break, continue, and pass statements - Iterating over sequences - For loops and while loops |
| Control Flow and Decision Making | 20% | - Comparisons and logical operators - Conditional expressions - If, elif, else statements |
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NEW QUESTION # 22
Complete the function add_item(numeric_list, new_number) that takes a list of numbers and a new number, and returns a new list that appends the new number to the end of the list.
For example, add_item([1, 2, 3], 4) should return [1, 2, 3, 4] .
Answer: B
Explanation:
The correct function uses the list method append() to add new_number to the end of numeric_list.
Correct code:
def add_item(numeric_list, new_number):
numeric_list.append(new_number)
return numeric_list
Example:
add_item([1, 2, 3], 4)
Result:
[1, 2, 3, 4]
Python's data structures documentation explains that list.append(x) adds an item to the end of the list.
Therefore, the correct answer isA.
NEW QUESTION # 23
Fix the indexing error in this function that should return the last character of a string.
def get_last_character(text):
return text[len(text)]
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: Python string indexing starts at 0.
Step 2: The last valid index of a string is len(text) - 1, not len(text).
Step 3: Python also allows negative indexing, where -1 means the last character.
Step 4: Replace text[len(text)] with text[-1] .
Correct code:
def get_last_character(text):
return text[-1]
Example:
print(get_last_character( " Python " ))
Output:
n
NEW QUESTION # 24
Which keyword is used to exit a loop prematurely in Python?
Answer: C
Explanation:
The break keyword exits a loop immediately before the loop condition naturally becomes false or before all items have been processed.
Example:
for number in range(10):
if number == 5:
break
print(number)
When number becomes 5, the loop stops. Python's control-flow documentation explains the use of break in loops.
Therefore, the correct answer isB. break.
NEW QUESTION # 25
Complete the function get_dict_keys(data) that takes a dictionary and returns a list of all its keys.
For example, get_dict_keys({ " name " : " John " , " age " : 25}) should return [ " name " , " age " ].
def get_dict_keys(data):
# TODO: Return a list of all dictionary keys
pass
Answer:
Explanation:
See the Step by Step Solution below in Explanation.
Explanation:
Step 1: A dictionary stores data as key-value pairs.
Step 2: The .keys() method returns the dictionary's keys.
Step 3: To return the keys as a list, use list(data.keys()).
Correct code:
def get_dict_keys(data):
return list(data.keys())
Example:
print(get_dict_keys({ " name " : " John " , " age " : 25}))
Output:
[ ' name ' , ' age ' ]
NEW QUESTION # 26
Which data type does the expression 5 > 3 evaluate to in Python?
Answer: B
Explanation:
In Python, comparison expressions such as 5 > 3 evaluate to aBooleanvalue.
The expression:
5 > 3
checks whether 5 is greater than 3. Since this statement is true, Python returns:
True
True and False are Boolean values in Python.
Therefore, the correct answer isC. Boolean.
NEW QUESTION # 27
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