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DSA Cprogramming~10 mins

Why Queue Exists and What Problems It Solves in DSA C - Test Your Knowledge

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to enqueue an element at the rear of the queue.

DSA C
void enqueue(int queue[], int *rear, int value) {
    queue[++(*rear)] = [1];
}
Drag options to blanks, or click blank then click option'
Avalue
Brear
Cqueue
Dfront
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'rear' instead of 'value' to insert the element.
Using 'front' or 'queue' which are not the element to add.
2fill in blank
medium

Complete the code to dequeue an element from the front of the queue.

DSA C
int dequeue(int queue[], int *front, int rear) {
    if (*front == -1 || *front > rear) {
        return -1; // Queue is empty
    }
    return queue[[1]++];
}
Drag options to blanks, or click blank then click option'
Arear
B*rear
Cfront
D*front
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'front' without dereferencing, causing wrong index access.
Using 'rear' which points to the end, not the front.
3fill in blank
hard

Fix the error in the condition that checks if the queue is full.

DSA C
int isFull(int rear, int maxSize) {
    return rear == [1] - 1;
}
Drag options to blanks, or click blank then click option'
AmaxSize + 1
Brear
CmaxSize
Dfront
Attempts:
3 left
💡 Hint
Common Mistakes
Comparing rear with rear or front instead of maxSize.
Using maxSize + 1 which is out of bounds.
4fill in blank
hard

Fill both blanks to correctly initialize the queue pointers.

DSA C
int front = [1];
int rear = [2];
Drag options to blanks, or click blank then click option'
A-1
B0
C1
DmaxSize
Attempts:
3 left
💡 Hint
Common Mistakes
Initializing front or rear to 0 which may cause off-by-one errors.
Using maxSize which is out of valid index range.
5fill in blank
hard

Fill the blanks to implement a circular queue condition to check if the queue is full.

DSA C
int isFull(int front, int rear, int maxSize) {
    return (rear + 1) % [1] == [2];
}
Drag options to blanks, or click blank then click option'
AmaxSize
Bfront
Crear
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Not using modulo operation causing index overflow.
Mixing up front and rear in the condition.

Practice

(1/5)
1. Why do we use a queue data structure instead of just using an array or list for tasks that need to be processed in order?
easy
A. Because a queue automatically processes elements in the order they arrive (first-in, first-out).
B. Because a queue stores elements in random order for faster access.
C. Because a queue allows jumping to any element quickly.
D. Because a queue stores only unique elements.

Solution

  1. Step 1: Understand the order of processing

    A queue processes elements in the order they arrive, known as first-in, first-out (FIFO).
  2. Step 2: Compare with other data structures

    Arrays or lists do not enforce FIFO automatically; queues do, which is useful for tasks like printing or scheduling.
  3. Final Answer:

    Because a queue automatically processes elements in the order they arrive (first-in, first-out). -> Option A
  4. Quick Check:

    Queue = FIFO order [OK]
Hint: Queues process in arrival order, unlike arrays [OK]
Common Mistakes:
  • Thinking queues store elements randomly
  • Confusing queue with stack (LIFO)
  • Assuming queues allow random access
2. Which of the following is the correct way to add an element to the end of a queue in C?
easy
A. queue_push(&q, element);
B. queue_enqueue(&q, element);
C. queue_addFirst(&q, element);
D. queue_insert(&q, 0, element);

Solution

  1. Step 1: Identify standard queue operation names

    The standard operation to add an element to a queue is called enqueue.
  2. Step 2: Match the correct function name

    Among the options, only queue_enqueue correctly represents adding to the end of the queue.
  3. Final Answer:

    queue_enqueue(&q, element); -> Option B
  4. Quick Check:

    Enqueue means add to queue end [OK]
Hint: Enqueue adds to queue end, dequeue removes from front [OK]
Common Mistakes:
  • Using push which is for stacks
  • Using insert with index in queues
  • Confusing addFirst with adding to front
3. Consider this C code snippet using a queue:
queue q;
queue_init(&q);
queue_enqueue(&q, 10);
queue_enqueue(&q, 20);
int x = queue_dequeue(&q);
queue_enqueue(&q, 30);
int y = queue_dequeue(&q);
What are the values of x and y after these operations?
medium
A. x = 10, y = 20
B. x = 20, y = 10
C. x = 10, y = 30
D. x = 20, y = 30

Solution

  1. Step 1: Trace enqueue and dequeue operations

    First enqueue 10, then 20. Dequeue removes 10 (first in). Then enqueue 30. Next dequeue removes 20 (now first in).
  2. Step 2: Assign values to x and y

    x gets 10 from first dequeue, y gets 20 from second dequeue.
  3. Final Answer:

    x = 10, y = 20 -> Option A
  4. Quick Check:

    FIFO order: 10 then 20 dequeued [OK]
Hint: Dequeue returns oldest enqueued element [OK]
Common Mistakes:
  • Mixing order of dequeue results
  • Assuming dequeue removes last element
  • Forgetting to enqueue before dequeue
4. The following code tries to dequeue from an empty queue:
queue q;
queue_init(&q);
int val = queue_dequeue(&q);
What is the likely problem with this code?
medium
A. It will return the last element instead of error.
B. It will enqueue a default value automatically.
C. It will cause an error or undefined behavior because the queue is empty.
D. It will print the queue contents instead of dequeuing.

Solution

  1. Step 1: Understand dequeue on empty queue

    Dequeuing from an empty queue has no element to remove, causing error or undefined behavior.
  2. Step 2: Check code behavior

    Since queue is empty after init, dequeue likely causes error or returns invalid value.
  3. Final Answer:

    It will cause an error or undefined behavior because the queue is empty. -> Option C
  4. Quick Check:

    Dequeue empty queue = error [OK]
Hint: Never dequeue without checking if queue is empty [OK]
Common Mistakes:
  • Assuming dequeue returns last element
  • Expecting automatic enqueue on dequeue
  • Thinking dequeue prints queue
5. A printer receives print jobs in this order: Job1, Job2, Job3. The printer processes jobs in the order they arrive. Which data structure best models this scenario and why?
hard
A. Stack, because it processes the most recent job first.
B. Array, because it stores jobs randomly for quick access.
C. Tree, because it organizes jobs hierarchically.
D. Queue, because it processes jobs in the order they arrive (FIFO).

Solution

  1. Step 1: Identify processing order needed

    The printer processes jobs in arrival order, meaning first job received is processed first.
  2. Step 2: Match data structure to order

    Queue follows first-in, first-out (FIFO), matching the printer's processing order.
  3. Final Answer:

    Queue, because it processes jobs in the order they arrive (FIFO). -> Option D
  4. Quick Check:

    Printer jobs = FIFO queue [OK]
Hint: FIFO matches real-world waiting lines like printers [OK]
Common Mistakes:
  • Choosing stack which is LIFO
  • Thinking array stores order automatically
  • Confusing tree with linear processing
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10 questions~5 mineasy hard