PCEP Timed Hard Questions — 25 Difficult Questions

Question 1

Refer to the exhibit. What is the printed value?

Accepted Answer

35. The expression in the exhibit is (2+3)*(5+2). Parentheses have the highest precedence, so we first evaluate the two addition operations: 2+3=5 and 5+2=7. Then we multiply the results: 5*7=35. Therefore, the printed value is 35, corresponding to option D.

Answer

27

Answer

5

Answer

21

Question 2

You are a developer in a financial firm. Your team is building a Python module that performs complex calculations on large datasets. To improve performance, you are using list comprehensions and built-in functions. Your code passes all unit tests, but during integration testing, the memory usage spikes unexpectedly. The problematic area is a function that constructs a large list of intermediate results using a list comprehension that references a generator. The code is:

def process(data):
    results = [expensive_transform(x) for x in data]
    # further processing on results

You suspect that the list comprehension stores all results in memory at once, but you need to keep the function's output as a list for subsequent operations. What is the best solution to reduce memory without changing the function's return type?

Accepted Answer

Change the function to return a generator and modify all callers to handle iterables.. Although it changes the function's return type from list to generator, it is the most effective way to eliminate the memory spike. The requirement to keep the output as a list is too restrictive; using a generator and modifying all callers to iterate over it is the only solution that prevents building the entire list in memory. Options B and C still materialize the full list, and Option D does not solve the memory issue.

Answer

Replace the list comprehension with a generator expression wrapped in list().

Answer

Use a for loop with the .append() method instead of comprehension.

Answer

Increase the system's available memory via configuration.

Question 3

Refer to the exhibit. What is the output of the code?

Accepted Answer

[2, 4, 4, 8, 6]. The code uses a for loop to iterate over the list [1, 2, 3, 4, 5] and multiplies each element by 2, but the result is assigned to the same index in the original list, modifying it in place. The output is [2, 4, 6, 8, 10] only if the loop correctly updates all elements; however, the exhibit shows a common mistake where the loop variable 'i' is used incorrectly (e.g., iterating over indices but modifying the wrong element), leading to [2, 4, 4, 8, 6] as the actual output due to a logic error in the code.

Answer

[1, 2, 3, 4, 5]

Answer

[2, 4, 6, 8, 10]

Answer

[1, 4, 3, 8, 5]

Question 4

A developer writes: a = 3; b = 4; c = a + b / 2. What is the value of c?

Accepted Answer

5.0. In Python, the division operator `/` always returns a float, and operator precedence dictates that division is performed before addition. Thus, `b / 2` evaluates to `4 / 2 = 2.0`, then `a + 2.0` yields `3 + 2.0 = 5.0`. Option D is correct because the result is a float value of 5.0.

Answer

3

Answer

3.5

Answer

5

Question 5

Which THREE of the following are valid ways to iterate over a list?

Accepted Answer

for i in mylist:. Python's `for i in mylist:` syntax directly iterates over each element of the list `mylist`, assigning the element value to the loop variable `i` in each iteration. This is the standard and most Pythonic way to traverse a list.

Answer

foreach i in mylist:

Answer

iter(mylist)

Question 6

Which of the following will raise a TypeError?

Accepted Answer

t = (1, 2); t[0] = 3. Tuples are immutable in Python; attempting to assign a value to an element using indexing (e.g., `t[0] = 3`) raises a `TypeError` with the message 'tuple' object does not support item assignment. This is a fundamental property of the tuple data type, designed to create fixed sequences that cannot be changed after creation.

Answer

lst = [1, 2]; lst.extend([3, 4])

Answer

x = {1, 2} & {2, 3}

Answer

d = {'a': 1}; d['b'] = 2

Question 7

Which TWO of the following expressions will evaluate to True?

Accepted Answer

3 == 3.0. In Python, the '==' operator compares values, and since integers and floats are compared by numeric value, 3 and 3.0 are numerically equal, so the expression evaluates to True. Option E is correct because 'is' checks object identity, and small integers like 3 are interned by Python, meaning they refer to the same object in memory, so '3 is 3' returns True.

Answer

3 is not 3

Answer

3 > 2 and 2 > 3

Answer

3 != 3.0

Question 8

Which TWO operators in Python yield an integer result when applied to two integers?

Accepted Answer

//. The floor division operator (//) always returns an integer result when both operands are integers, discarding any fractional part. For example, 7 // 2 yields 3, not 3.5. This is because floor division performs integer division and truncates toward negative infinity, ensuring the result type is int when both inputs are int.

Answer

**

Answer

*

Answer

/

Question 9

You are maintaining a legacy Python 2.7 script that calculates shipping costs. The script reads weight from user input, then calculates cost as weight * 1.5. Recently, the company upgraded to Python 3.9, and now the script raises a TypeError: can't multiply sequence by non-int of type 'float'. The input line is: weight = input('Enter weight: '). You need to fix the script minimally. Which action should you take?

Accepted Answer

Change the input line to weight = float(input('Enter weight: ')). In Python 3.9, `input()` returns a string, not a number. Multiplying a string by a float raises a TypeError. Option D converts the input to a float immediately, which is the minimal fix because it handles both integer and decimal weights correctly without changing the multiplication logic.

Answer

Use Python 2 style input by importing from __future__

Answer

Change the multiplication to cost = float(weight) * 1.5

Answer

Change the input line to weight = int(input('Enter weight: '))

Question 10

A junior developer is working on a script that processes user data. The script reads a CSV file into a list of dictionaries. Each dictionary represents a user with keys 'name', 'age', and 'email'. The developer needs to filter out users under 18 and store their names in a list. The current code is:

users = [{'name': 'Alice', 'age': 17, 'email': 'alice@example.com'}, {'name': 'Bob', 'age': 22, 'email': 'bob@example.com'}]

minors = []
for user in users:
    if user['age'] < 18:
        minors.append(user['name'])

print(minors)

The code works, but the senior developer says it is not idiomatic and suggests a more concise solution. Which of the following approaches is the best replacement?

Accepted Answer

minors = [user['name'] for user in users if user['age'] < 18]. It uses a list comprehension to directly extract the 'name' field from each user dictionary where the age is under 18, making the code concise and Pythonic. The original code works but is verbose; list comprehensions are the idiomatic Python approach for transforming and filtering iterables in a single readable line.

Answer

minors = []
for i in range(len(users)):
    if users[i]['age'] < 18:
        minors.append(users[i]['name'])

Answer

minors = [user for user in users if user['age'] < 18]

Answer

minors = list(map(lambda u: u['name'], filter(lambda u: u['age'] < 18, users)))

Question 11

A system administrator wrote a Python script to monitor disk usage. The script reads the output of a system command that returns a string like 'Used: 45%' and extracts the percentage. The code uses slicing to get the numeric part and converts to int. However, on some servers, the output format changes to 'Used: 45.2%', causing a ValueError when converting to int. The administrator needs a robust solution that works with both integer and floating-point percentages while still producing an integer result (e.g., 45 for 45.2%). Which option is the best approach?

Accepted Answer

Use a try-except block to attempt int conversion first; if a ValueError occurs, convert to float and then convert to int (which truncates the decimal part).. It uses a try-except block to first attempt int conversion for integer percentages, and if a ValueError occurs (due to a decimal point), it converts to float and then to int, which truncates the decimal part. This approach handles both '45%' and '45.2%' formats without raising an error, producing an integer result as required.

Answer

Use string splitting to extract the numeric part, then convert to float and round to the nearest integer.

Answer

Use a regular expression to extract the number and convert to float, then convert to int.

Answer

Use the .replace() method to remove the '%' character and then convert to int.

Question 12

What is the output of the following code?
```python
x = 10
y = 3
print(x // y * y + x % y)
```

Accepted Answer

10. The expression `x // y * y + x % y` is evaluated using integer arithmetic. First, `x // y` is floor division: 10 // 3 = 3. Then `3 * y` = 3 * 3 = 9. Then `x % y` = 10 % 3 = 1. Finally, 9 + 1 = 10, which is an integer. Option C is correct because the result is 10 (type int).

Answer

9

Answer

10.0

Answer

9.0

Question 13

Refer to the exhibit. A beginner Python programmer executes the code and gets an error. What is the most likely cause?

Accepted Answer

The variables x and y are of incompatible types for the + operator. The error occurs when the + operator is used between incompatible types, such as a string (x) and an integer (y). In Python, the + operator performs concatenation for strings and addition for numbers, but mixing types without explicit conversion raises a TypeError. The code likely defines x as a string (e.g., '10') and y as an integer (e.g., 5), causing the error.

Answer

The + operator cannot be used with print()

Answer

The variable y should be converted to an integer using int()

Answer

The print function is misspelled

Question 14

Consider: x = True; y = False; z = x and not y or x. What is the value of z?

Accepted Answer

True. The expression `x and not y or x` is evaluated with operator precedence: `not` has the highest precedence, then `and`, then `or`. Given `x = True` and `y = False`, `not y` evaluates to `True`. Then `x and True` is `True and True`, which is `True`. Finally, `True or x` (where `x` is `True`) short-circuits to `True`. Thus, `z` is `True`.

Answer

None

Answer

Error

Answer

False

Question 15

Which three of the following statements about lists are true? (Choose three.)

Accepted Answer

Lists can be indexed with integers.. Lists in Python are ordered sequences that support indexing with integers, starting from 0 for the first element and negative integers for reverse indexing. This allows direct access to any element by its position, a fundamental feature of sequence types in Python.

Answer

Lists have a fixed size once created.

Answer

Lists can only contain elements of the same data type.

Question 16

What is the output of print(type(3 + 4.5))?

Accepted Answer

. In Python, when you add an integer (3) and a float (4.5), implicit type conversion (coercion) occurs: the integer is promoted to a float to avoid data loss. The result is 7.5, which is a float. Therefore, type(7.5) returns .

Answer

Answer

Answer

Question 17

Refer to the exhibit. What is the output of the code?

Accepted Answer

4. The code iterates over the list `[1, 2, 3, 4]` and breaks out of the loop when `i == 3`, so only the first three iterations execute. The `else` clause on the `for` loop runs only if the loop completes without a `break`, so it is skipped. The final value of `i` after the loop is 3, but the code prints `i + 1`, which yields 4.

Answer

Loop ended normally
4

Answer

7

Answer

1

Question 18

What is the result of the expression: (1 and 0) or (not False and True)?

Accepted Answer

True. 1 and 0 evaluates to 0 (falsy). not False evaluates to True, so not False and True evaluates to True. 0 or True evaluates to True (the last truthy value).

Answer

False

Answer

0

Answer

1

Question 19

Given the code: my_list = [1, 2, 3, 4, 5]. What is the output of print(my_list[-3:-1])?

Accepted Answer

[3, 4]. Python list slicing with negative indices counts from the end of the list. my_list[-3:-1] starts at index -3 (value 3) and goes up to but does not include index -1 (value 5), so it returns [3, 4].

Answer

[4, 5]

Answer

[2, 3]

Answer

[3, 4, 5]

Question 20

What is the output of: print(2 ** 3 ** 2)?

Accepted Answer

512. In Python, the exponentiation operator ** is right-associative, meaning that `2 ** 3 ** 2` is evaluated as `2 ** (3 ** 2)`, not `(2 ** 3) ** 2`. First, `3 ** 2` equals 9, then `2 ** 9` equals 512. Thus, the correct output is 512.

Answer

12

Answer

64

Answer

256