PCEP Practice Test 6 — 10 Questions

Question 1

Which TWO of the following are valid dictionary methods? (Select two.)

Accepted Answer

keys(). The `keys()` method returns a view object displaying all keys in a dictionary, and `values()` returns a view object of all values. Both are built-in dictionary methods in Python, making them valid for the PCEP exam.

Answer

keyset()

Answer

entries()

Answer

pairs()

Question 2

What is the output of the following code?

def test():
    try:
        return 1
    finally:
        return 2

print(test())

Accepted Answer

2. In Python, a `finally` block always executes, and if both `try` and `finally` contain `return` statements, the `return` in `finally` overrides the one in `try`. The function `test()` returns 2, not 1, because the `finally` block's return value is the one that is actually used.

Answer

None

Answer

Error

Answer

1

Question 3

A programmer wants to iterate over a list of strings and print each string in uppercase. Which of the following code snippets will accomplish this?

Accepted Answer

for item in my_list: print(item.upper()). It correctly calls the `upper()` method on each string `item` in the list `my_list` and prints the result. The `upper()` method returns a new string with all characters converted to uppercase, and the `print()` function outputs that value to the console.

Answer

for item in my_list: print(item.upper)

Answer

for item in my_list: item.upper() print(item)

Answer

for i in my_list: print(my_list[i].upper())

Question 4

Given the code:
x = [1, 2, 3]
y = x
y.append(4)
print(x)
What is the output?

Accepted Answer

[1, 2, 3, 4]. In Python, variables hold references to objects, not the objects themselves. When `y = x` is executed, both `x` and `y` point to the same list object in memory. The `y.append(4)` method modifies that shared list in-place, so the change is reflected when `x` is printed, outputting `[1, 2, 3, 4]`.

Answer

Error

Answer

[1, 2, 3]

Answer

[1, 2, 3, 4, 5]

Question 5

Order the steps to define and call a function in Python.

Accepted Answer

1. Define function using def keyword, 2. Optionally specify parameters in parentheses, 3. Write the indented function body, 4. Call the function by its name.. Function definition starts with def, then the body, parameters are optional, and calling the function executes it.

Answer

1. Write the indented function body, 2. Define function using def keyword, 3. Optionally specify parameters in parentheses, 4. Call the function by its name.

Answer

1. Define function using def keyword, 2. Write the indented function body, 3. Optionally specify parameters in parentheses, 4. Call the function by its name.

Answer

1. Call the function by its name, 2. Define function using def keyword, 3. Optionally specify parameters in parentheses, 4. Write the indented function body.

Question 6

What is the scope of a variable defined inside a function?

Accepted Answer

Local. In Python, any variable assigned inside a function (without global or nonlocal declarations) has local scope. This means it is only accessible within that function's block and is destroyed when the function returns, as per Python's LEGB (Local, Enclosing, Global, Built-in) rule.

Answer

Global

Answer

Built-in

Answer

Nonlocal

Question 7

Match each Python control flow statement to its purpose.

Accepted Answer

break: Exits the loop immediately.. The correct matches: break exits the loop, continue skips to next iteration, pass does nothing, else runs after normal loop completion. Common confusions include swapping break and continue, or confusing else with pass.

Answer

break: Skips the rest of the current iteration and moves to the next.

Answer

else (in loop): Does nothing; used as a placeholder.

Question 8

Which THREE of the following are valid list operations?

Accepted Answer

my_list.extend([5,6]). Option B, my_list.extend([5,6]), is valid because Python lists provide the extend() method, which appends each element of the given iterable to the end of the list, so [5,6] adds two separate items. Option D, my_list.insert(0,5), is valid because insert(index, value) is a standard list method that places the value 5 at index 0, shifting existing elements to the right. Option E, my_list.append(5), is valid because append() is the canonical list method for adding a single element to the end of the list. Option A, my_list.add(5), is not a list operation; add() belongs to set objects, not lists. Option C, my_list.push(5), is not a Python list method; push() is associated with stack-like structures in other languages (e.g., JavaScript arrays), whereas Python lists use append().

Answer

my_list.add(5)

Answer

my_list.push(5)

Question 9

What is the output when the following code is executed?

try:
    print(1/0)
except ZeroDivisionError:
    print("Cannot divide by zero")

Accepted Answer

Cannot divide by zero. The code inside the try block attempts to divide by zero, which raises a ZeroDivisionError. The except block catches this exception and executes its print statement, outputting 'Cannot divide by zero'.

Answer

The program crashes with an unhandled exception

Answer

Result: 0

Answer

Unsupported operand

Question 10

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

Accepted Answer

1 2 4 5. The code uses a for loop with range(1,6) to iterate over numbers 1 through 5. Inside the loop, an if statement checks if the current number equals 3; if true, the continue statement skips the print(i) for that iteration. Thus, when i is 3, the print is skipped, so the output is '1 2 4 5'. Option B is correct because it matches this output.

Answer

0 1 2 4 5

Answer

1 2 3 4 5

Answer

2 4 5