Computational Thinking and Programming-I Quiz 7

✅ Answer: (d) The flow of execution through the program

Flow of control refers to the order in which statements are actually executed — which can differ from how they’re written on the page, once conditions, loops, and function calls come into play.

✅ Answer: (b) To indicate the start and end of a block of code

In Python, indentation isn’t just a style choice — it’s syntactically required to mark where a block of code starts and ends (inside an if, for, while, or function). Most other languages use braces { } for this instead.

✅ Answer: (a) Execution of statements in a specific order from top to bottom

Sequential flow is the simplest and default flow — statements run one after another, top to bottom, in exactly the order they’re written, with no branching or repetition.

✅ Answer: (c) Conditional statements

Conditional statements (if, elif, else) are what let a program branch and make decisions — running different code depending on whether a condition is true or false.

✅ Answer: (b) To control the flow of execution based on a condition

Conditional statements exist to control which code runs based on whether a condition evaluates to True or False — letting the program react differently to different situations.

✅ Answer: (c) if statement

The if statement is Python’s core conditional construct. for and while are looping constructs, and break is a loop-control keyword — neither makes a decision on its own.

✅ Answer: (c) Repetitive execution of statements until a condition is met

Iterative flow means a block of code runs repeatedly — either a fixed number of times or until some condition is no longer true — which is exactly what loops are built for.

✅ Answer: (a) Looping

Looping (using for or while) is the control structure specifically designed to repeat a block of code multiple times.

✅ Answer: (d) To repeat a block of code multiple times

Loops exist purely to repeat a block of code multiple times — avoiding the need to manually rewrite the same statements over and over.

✅ Answer: (b) for loop

The for loop is one of Python’s two core iterative structures (the other being while) — it repeats a block of code once for each item in a sequence.

✅ Answer: (b) elif

elif (short for “else if”) lets you chain multiple condition checks in a single, flat if-elif-else structure, instead of nesting a new if inside every else.

✅ Answer: (b) for loop

A for loop is the natural choice when you already know how many times to repeat — e.g. iterating over a list or a fixed range().

✅ Answer: (b) while loop

A while loop keeps running as long as its condition stays true — perfect for situations where you don’t know upfront exactly how many repetitions will be needed.

✅ Answer: (c) break

break exits the loop immediately, skipping any remaining iterations entirely, and execution continues with the code right after the loop.

✅ Answer: (b) continue

continue stops the current pass through the loop body right where it is, and jumps straight to the next iteration — the loop itself keeps running.

✅ Answer: (c) pass

pass does absolutely nothing — it’s used as a placeholder inside an empty if, loop, or function body so the code remains syntactically valid while you fill in the logic later.

✅ Answer: (b) Numbers from 0 to 4

range(5) generates 5 numbers starting from 0, up to (but not including) 5: 0, 1, 2, 3, 4.

✅ Answer: (b) It raises an IndentationError

Since Python relies on indentation to define blocks, mixing inconsistent spacing within the same block raises an IndentationError and stops the program from running.

✅ Answer: (c) Yes, and it runs only if the loop completes without hitting a break

Python uniquely allows an else block after a loop — it runs only if the loop finishes naturally without being stopped early by a break. If a break does occur, the else block is skipped entirely.

✅ Answer: (b) A conditional statement or loop placed inside another conditional statement or loop

Nesting means placing one control structure inside another — like an if inside a for loop, or a loop inside another loop — to handle more complex, layered logic.