📖 Scenario: Imagine you are managing a line of customers waiting for service at a store. Sometimes customers join the line at the front (priority customers), and sometimes at the back (regular customers). You also serve customers from both ends depending on the situation.
🎯 Goal: You will create a double ended queue (deque) using Java's ArrayDeque. You will add customers to both ends, remove customers from both ends, and finally display the current queue.
📋 What You'll Learn
Create an ArrayDeque of strings called customerQueue.
Add customers to the front and back of the deque.
Remove customers from the front and back of the deque.
Print the final state of the deque showing the order of customers.
💡 Why This Matters
🌍 Real World
Deques are useful in real-world scenarios like managing lines where people can join or leave from both ends, such as customer service, task scheduling, or undo-redo operations.
💼 Career
Understanding deques helps in software development roles that involve data structure manipulation, optimizing performance, and implementing efficient algorithms.
Progress0 / 4 steps
1
Create the Deque and Add Initial Customers
Create an ArrayDeque of strings called customerQueue. Add these customers in order to the back of the deque: "Alice", "Bob", "Charlie".
DSA Java
Hint
Use Deque<String> customerQueue = new ArrayDeque<>(); to create the deque. Use addLast() to add customers to the back.
2
Add Priority Customers to the Front
Add two priority customers to the front of customerQueue: "Diana" and "Ethan", in that order (Diana first, then Ethan).
DSA Java
Hint
Use addFirst() to add customers to the front of the deque.
3
Serve Customers from Both Ends
Remove one customer from the front and one customer from the back of customerQueue. Store the removed customers in variables servedFront and servedBack respectively.
DSA Java
Hint
Use removeFirst() to remove from the front and removeLast() to remove from the back.
4
Print the Final State of the Queue
Print the current state of customerQueue to show the order of customers waiting. Use System.out.println(customerQueue);.
DSA Java
Hint
Use System.out.println(customerQueue); to print the deque. The output shows the order from front to back.
Practice
(1/5)
1. What is a Double Ended Queue (Deque)?
easy
A. A queue where elements can only be added at the rear
B. A data structure where elements can be added or removed from both ends
C. A stack where elements can only be added or removed from the top
D. A list that allows random access to elements
Solution
Step 1: Understand the definition of Deque
A Deque allows insertion and deletion from both front and rear ends.
Step 2: Compare with other data structures
Unlike queues or stacks, Deque supports operations at both ends.
Final Answer:
A data structure where elements can be added or removed from both ends -> Option B
Quick Check:
Deque = double-ended queue [OK]
Hint: Deque means double-ended queue, both ends usable [OK]
Common Mistakes:
Confusing Deque with stack or simple queue
Thinking Deque allows random access like arrays
Assuming Deque only works from one end
2. Which of the following is the correct way to create a Deque in Java using the standard library?
easy
A. Deque<Integer> dq = new ArrayDeque<>();
B. Deque<Integer> dq = new Deque<>();
C. Deque<Integer> dq = new Stack<>();
D. Deque<Integer> dq = new Queue<>();
Solution
Step 1: Identify valid Deque implementations in Java
ArrayDeque implements the Deque interface and is the preferred implementation.
Step 2: Check syntax correctness
ArrayDeque is instantiated with new ArrayDeque<>(), which is correct syntax.
Final Answer:
Deque<Integer> dq = new ArrayDeque<>(); -> Option A
Quick Check:
ArrayDeque is standard Deque implementation [OK]
Hint: Use ArrayDeque for Deque in Java [OK]
Common Mistakes:
Using Stack which is not a Deque
Trying to instantiate interface Queue directly
Trying to instantiate the Deque interface directly
3. What will be the output of the following Java code?
Deque<String> dq = new ArrayDeque<>();
dq.addFirst("A");
dq.addLast("B");
dq.addFirst("C");
System.out.println(dq);
medium
A. [A, C, B]
B. [A, B, C]
C. [C, A, B]
D. [B, A, C]
Solution
Step 1: Trace addFirst and addLast operations
addFirst("A") adds A at front: [A] addLast("B") adds B at rear: [A, B] addFirst("C") adds C at front: [C, A, B]
Step 2: Print the Deque
Printing dq shows elements in order: [C, A, B]
Final Answer:
[C, A, B] -> Option C
Quick Check:
addFirst adds front, addLast adds rear [OK]
Hint: addFirst puts element at front, addLast at rear [OK]
Common Mistakes:
Mixing order of addFirst and addLast
Assuming addFirst adds at rear
Confusing print output format
4. Identify the error in the following Java code using Deque:
Deque<Integer> dq = new ArrayDeque<>();
dq.addFirst(10);
dq.addLast(20);
dq.removeLast();
dq.removeFirst();
dq.removeFirst();
medium
A. No error, code runs fine
B. Compilation error due to wrong method names
C. Throws NullPointerException on removeLast()
D. Throws NoSuchElementException on last removeFirst()
Step 2: Identify exception on removing from empty Deque
removeFirst() on empty Deque throws NoSuchElementException
Final Answer:
Throws NoSuchElementException on last removeFirst() -> Option D
Quick Check:
Removing from empty Deque throws NoSuchElementException [OK]
Hint: Removing from empty Deque throws NoSuchElementException [OK]
Common Mistakes:
Assuming removeFirst returns null instead of exception
Confusing method names causing compile error
Thinking removeLast throws NullPointerException
5. You want to implement a task scheduler that processes tasks in the order they arrive but sometimes needs to prioritize urgent tasks by adding them to the front. Which Deque operation combination is best suited for this scenario?
hard
A. Use addLast() for normal tasks and addFirst() for urgent tasks
B. Use addFirst() for normal tasks and addLast() for urgent tasks
C. Use only addLast() for all tasks
D. Use only addFirst() for all tasks
Solution
Step 1: Understand task order requirements
Normal tasks should be processed in arrival order (queue behavior). Urgent tasks should be processed before normal tasks (front insertion).
Step 2: Match Deque operations to requirements
addLast() adds normal tasks at rear (end), preserving arrival order. addFirst() adds urgent tasks at front, prioritizing them.
Final Answer:
Use addLast() for normal tasks and addFirst() for urgent tasks -> Option A
Quick Check:
Normal at rear, urgent at front [OK]
Hint: Normal tasks rear, urgent tasks front with addLast/addFirst [OK]
Common Mistakes:
Reversing addFirst and addLast roles
Using only one end for all tasks losing priority
Confusing queue and stack behavior
Recommended
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