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McDonald's Software Developer Interview Questions and Answers
McDonald's Software Developer Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. Sort an array in O(nlogn)
- Ans.
Use merge sort algorithm to sort the array in O(nlogn) time complexity.
Implement merge sort algorithm which divides the array into two halves, recursively sorts the halves, and then merges the sorted halves.
Time complexity of merge sort is O(nlogn) where n is the number of elements in the array.
Example: ['apple', 'banana', 'cherry', 'date'] can be sorted using merge sort in O(nlogn) time complexity.
- Q2. Find element in sorted Array
- Ans.
Use binary search to find element in sorted array efficiently.
Start with middle element and compare with target
If target is less, search left half, if greater search right half
Repeat until element is found or search space is empty
Skills evaluated in this interview
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I appeared for an interview before Sep 2020.
Round duration - 60 minutes
Round difficulty - Easy
Round duration - 50 minutes
Round difficulty - Easy
Round duration - 60 minutes
Round difficulty - Easy
At the beginning of this round, the interviewer asked me about the data structures I knew. Linked lists, trees, graphs, arrays etc. was my answer. He asked me how well I knew Dynamic Programming. I said I wasn’t strong in that and he said that he would ask me a question on dynamic programming for sure.
Round duration - 40 minutes
Round difficulty - Easy
The interviewer asked me if I was comfortable with the interview process so far and how the previous interviews were. I said it was good and he gave me the first problem to solve.
(1 Question)
Round duration - 60 minutes
Round difficulty - Easy
The interviewer asked me some Computer Science fundamentals in this round as well as some behavioural questions.
- Q1. Implement a Trie data structure and write functions to insert and search for a few words in it.
- Ans.
Implement a Trie data structure with insert and search functions.
Create a TrieNode class with children and isEndOfWord attributes.
Implement insert function to add words by iterating through characters.
Implement search function to check if a word exists by traversing the Trie.
Example: Insert 'apple', 'banana', 'orange' and search for 'apple' and 'grape'.
Interview Preparation Tips
Do lot of hard work and practice of Data Structures and Algorithms based questions. I personally recommend you Coding Ninjas and Geeks For Geeks for interview preparation.
Application resume tips for other job seekersMake your resume short and try to make it of one page only and do mention all your skills which you are confident of in your resume.
Final outcome of the interviewSelectedSkills evaluated in this interview
I appeared for an interview before May 2021.
Round duration - 90 minutes
Round difficulty - Medium
Around 65-70 people sat for the test. 15 people were shortlisted. It consisted of the following to be done in 90 minutes.
- 28 MCQs based on core CS
- 2 Coding questions – everyone had different and random questions. Most questions were custom logic based (easy level) including some standard questions – LCS, LIS, topological sort.
(2 Questions)
Round duration - 60 minutes
Round difficulty - Easy
Interviewer was very friendly. It started with the standard – tell me about yourself / introduce yourself type of question. Then he proceeded and asked two coding questions
- Q1.
Remove Duplicates from a Sorted Linked List
Your friend has homework to complete. Help him by removing duplicates from a sorted linked list.
You are given the 'Head' of a sorted linked list. Modify the l...
- Ans.
Remove duplicates from a sorted linked list without adjacent duplicates.
Traverse the linked list while comparing current and next nodes.
If they are equal, skip the next node by updating the current node's next pointer.
Repeat until the end of the list is reached.
- Q2.
Course Schedule Problem Statement
You are enrolled as a student and must complete
Ncourses, numbered from 1 to N, to earn your degree.Some courses have prerequisites, which means that to take course
i,... - Ans.
Check if it is feasible to complete all courses with prerequisites.
Create a graph representing the prerequisites with courses as nodes and edges as prerequisites.
Perform a topological sort on the graph to check if there is a cycle (if there is, then it's not feasible to complete all courses).
If there is no cycle, then it is feasible to complete all courses.
(1 Question)
Round duration - 60 minutes
Round difficulty - Medium
This round had only 1 question. The interviewer introduced himself. And he advised me to clearly understand the problem before proceeding.
- Q1.
LCA of Binary Tree Problem Statement
You are given a binary tree of distinct integers, along with two nodes, ‘X’ and ‘Y’. Your task is to determine the Lowest Common Ancestor (LCA) of ‘X’ and ‘Y’.
The LC...
- Ans.
Find the Lowest Common Ancestor of two nodes in a binary tree.
Traverse the binary tree to find the paths from the root to nodes X and Y.
Compare the paths to find the last common node, which is the Lowest Common Ancestor.
Implement a recursive function to efficiently find the LCA.
Handle cases where one node is an ancestor of the other.
Consider edge cases like when X or Y is the root node.
(4 Questions)
Round duration - 60 minutes
Round difficulty - Medium
Pretty Good Round. Fast Paced. We covered a lot of ground.
- Q1.
Binary Search Tree Iterator Problem Statement
Design and implement a class
BSTIteratorto perform an in-order traversal over a Binary Search Tree (BST). Your implementation should include the following me... - Ans.
Design and implement a class BSTIterator to perform in-order traversal over a Binary Search Tree (BST).
Implement a parameterized constructor to initialize the iterator with the root of the BST.
Implement a method 'next()' to return the next smallest element in in-order traversal.
Implement a method 'hasNext()' to check if there exists a next smallest element in traversal.
Ensure the output is the in-order traversal of the
- Q2.
Maximum Consecutive Ones Problem Statement
Given a binary array 'ARR' of size 'N', your task is to determine the maximum length of a sequence consisting solely of 1’s that can be obtained by converting at...
- Ans.
Find the maximum length of a sequence of 1's by converting at most K zeroes into ones in a binary array.
Iterate through the array and keep track of the current window of 1's and zeroes.
Use a sliding window approach to find the maximum length of consecutive 1's by flipping at most K zeroes.
Update the window based on the number of zeroes flipped and keep track of the maximum length found so far.
Return the maximum length ...
- Q3.
BFS in Graph Problem Statement
You are given an undirected and disconnected graph
G(V, E)havingVvertices numbered from0toV-1andEedges. Your task is to print its BFS traversal starting from the 0t... - Ans.
BFS traversal of an undirected and disconnected graph starting from vertex 0.
Start BFS traversal from vertex 0 and visit all connected nodes in sorted order.
Use a queue to keep track of nodes to visit next.
Keep a visited array to avoid revisiting nodes.
Print the BFS traversal path as the nodes are visited.
Example: For input V=5, E=4 and edges 0-1, 0-2, 1-3, 2-4, the BFS traversal will be [0, 1, 2, 3, 4].
- Q4.
Dijkstra's Shortest Path Problem Statement
Given an undirected graph with
Vvertices (labeled 0, 1, ..., V-1) andEedges, each edge connects two nodesXandYwith a specified weight representing the dis... - Ans.
Dijkstra's algorithm is used to find the shortest path distance from a source node to all other nodes in an undirected graph.
Implement Dijkstra's algorithm to find the shortest path distance from node 0 to all other nodes in the graph.
Use a priority queue to efficiently select the next node with the shortest distance.
Initialize distances to all nodes as infinity, except for the source node which is 0.
Update distances t...
(1 Question)
Round duration - 60 minutes
Round difficulty - Hard
Bar Raised Round. Definitely felt the difficulty.
- Q1.
First Non-Repeating Character Problem Statement
You are given a string consisting of English alphabet characters. Your task is to identify and return the first character in the string that does not repeat...
- Ans.
Identify and return the first non-repeating character in a string, or the first character if all characters repeat.
Iterate through the string to count the frequency of each character
Iterate through the string again to find the first character with frequency 1
If no such character is found, return the first character of the string
Interview Preparation Tips
Tip 1 : Practice at least 250 Questions, Give yourself enough time for preparation. Cramming won't take you very far. In books, I really liked Elements of Programming Interviews.
Tip 2 : Make sure to brush up your basics - coding style, OOPs, Language features. They help in making an impression.
Tip 3 : Don't worry about solving the question in the interview. Learn to tackle any random problem with the best of your ability. More often than not, that'd be enough.
Tip 1 : Keep your resume clean - no graphics, no multiple fonts. Keep it one page.
Tip 2 : Don't go over board in mentioning skills, only mention the things you are truly confident about.
Skills evaluated in this interview
I appeared for an interview before Sep 2020.
(1 Question)
Round duration - 90 Minutes
Round difficulty - Medium
Interview started at 11:00 am. It was an online round. During the coding round I submitted optimized solution and got full acceptance of the solutions.
- Q1.
Detect Cycle in a Directed Graph
You are provided with a directed graph composed of 'N' nodes. You have a matrix called 'EDGES' with dimensions M x 2, which specifies the 'M' edges in the graph. Each edge...
- Ans.
Detect cycle in a directed graph using depth-first search (DFS) algorithm.
Use DFS to traverse the graph and detect back edges indicating a cycle.
Maintain a visited array to keep track of visited nodes during traversal.
If a node is visited again during traversal and it is not the parent node, then a cycle exists.
Return true if a cycle is detected, false otherwise.
(1 Question)
Round duration - 80 Minutes
Round difficulty - Medium
Interview started at 10:00 am. Interview went well, I was able to connect with the interviewer and enjoyed the whole interview
- Q1.
Next Smallest Palindrome Problem Statement
Find the next smallest palindrome strictly greater than a given number 'N' represented as a string 'S'.
Explanation:
You are given a number in string format, a...
- Ans.
Find the next smallest palindrome greater than a given number represented as a string.
Convert the string to an integer, find the next greater palindrome, and convert it back to a string.
Handle cases where the number is a palindrome or has all digits as '9'.
Consider both odd and even length numbers when finding the next palindrome.
(1 Question)
Round duration - 80 Minutes
Round difficulty - Medium
Interview started at 11:00 am. Interview went well.
- Q1.
Boundary Traversal of a Binary Tree
Given a binary tree of integers, your task is to return the boundary nodes of the tree in Anti-Clockwise direction starting from the root node.
Input:
The first line ... - Ans.
Return the boundary nodes of a binary tree in Anti-Clockwise direction starting from the root node.
Traverse the left boundary nodes in a top-down manner
Traverse the leaf nodes from left to right
Traverse the right boundary nodes in a bottom-up manner
Handle cases where duplicates occur in the boundary nodes
Implement the function without printing as printing is already managed
Interview Preparation Tips
Tip 1 : For Data Structures number of questions doesn't matter. Try to understand the logic behind them and try to apply them in creating multiple scenario's. Learn them by heart.
Tip 2 : For Web.Development Try to learn full stack development. See which part interests you more, Increase your knowledge horizon, Always try to build a system a system considering It will be served to millions of customers. By doing this 1-2 projects will increase and cover all the major things which one should learn in their career/college.
Tip 1 : Always try to make it a single page
Tip 2 : Always make resume company specific. eg. Data Structures part more if you are applying for MNC's eg. Amazon, Google, DE Shaw, browserstack.
Skills evaluated in this interview
I appeared for an interview before Sep 2020.
(1 Question)
Round duration - 90 minutes
Round difficulty - Easy
This was MCQ+Coding round.
- Q1. How can you check if two strings are anagrams of each other?
- Ans.
Check if two strings are anagrams by comparing the sorted versions of the strings.
Sort both strings and compare if they are equal.
Use a hashmap to store the frequency of characters in each string and compare the maps.
Ignore spaces and punctuation when comparing the strings.
Round duration - 90 minutes
Round difficulty - Easy
This was face to face interview round.
Round duration - 90 minutes
Round difficulty - Easy
This was face to face interview round.
Interview Preparation Tips
Tip 1 : Participate in live contests on websites like Codechef, Codeforces etc as much as possible.
Tip 2 : Practice previous interview questions from LeetCode, GeeksForGeeks.
Tip 3 : Revise Computer Science subjects like DBMS, OOPS thoroughly.
Add projects and Internships if you have done any and add only those things which you really know.
Final outcome of the interviewSelectedSkills evaluated in this interview
I appeared for an interview in Sep 2016.
Interview Questionnaire
5 Questions
- Q1. Java collections
- Q2. Minor project related questions
- Q3. Android framework
- Q4. Tell me about your self
- Ans.
I am a dedicated software developer with a passion for creating innovative solutions.
Experienced in multiple programming languages such as Java, Python, and C++
Strong problem-solving skills and ability to work well in a team
Developed a mobile app for tracking fitness goals using React Native
- Q5. Any problem about bond and location
- Ans.
The question is about bond and location.
Discuss the concept of bond and its importance in software development
Explain the significance of location in software development
Provide examples of how bond and location can impact software development projects
Interview Preparation Tips
College Name: Acropolis Institute Of Technology & Research
I applied via Referral
Interview Questionnaire
6 Questions
- Q1. Design the most optimal data structures for an LRU cache
- Ans.
Design optimal data structures for LRU cache
Use a doubly linked list to keep track of recently used items
Use a hash table to store key-value pairs for quick access
When an item is accessed, move it to the front of the linked list
When the cache is full, remove the least recently used item from the back of the linked list and hash table
- Q2. Convert a sorted array to balanced binary search tree
- Ans.
Convert a sorted array to balanced binary search tree
Find the middle element of the array and make it the root of the tree
Recursively construct the left subtree using the left half of the array
Recursively construct the right subtree using the right half of the array
Repeat until all elements are added to the tree
- Q3. Reverse a singly linked list in groups of k inplace
- Ans.
Reverse a singly linked list in groups of k inplace
Divide the linked list into groups of k nodes
Reverse each group of k nodes
Connect the reversed groups to form the final linked list
- Q4. Design the most optimal data structure for storing a word and its meaning. Note that a word could have multiple meanings
- Ans.
Optimal data structure for storing words and their meanings
Use a hash table with the word as the key and a list of meanings as the value
Each meaning can be stored as a string or an object with additional information
Consider using a trie data structure for efficient prefix search
Implement a search function that can handle partial matches and synonyms
- Q5. Write a recursive routine to calculate a ^ n
- Ans.
A recursive routine to calculate a ^ n
The base case is when n is 0, in which case the result is 1
For any other value of n, the result is a multiplied by the result of a^(n-1)
The recursive function should call itself with a^(n-1) as the new input
- Q6. Design the most optimal data structure for a never ending stream of numbers. It should be optimized for insertion, deletion, searching, finding kth largest and kth smallest
- Ans.
Design optimal data structure for never-ending stream of numbers for insertion, deletion, searching, kth largest and kth smallest.
Use a balanced binary search tree like AVL or Red-Black tree for efficient insertion, deletion, and searching.
Maintain two heaps, one for kth largest and one for kth smallest.
For finding kth largest, use a min heap of size k and for kth smallest, use a max heap of size k.
Alternatively, use a...
Interview Preparation Tips
College Name: NA
Skills evaluated in this interview
Interview Preparation Tips
Duration: 2 hours
Total Questions: 22
College Name: Jaypee University Of Information Technology, Solan
Sumit Singh
I appeared for an interview before Sep 2016.
Interview Questionnaire
5 Questions
- Q1. Search an element in sorted rotated array.
- Ans.
Search an element in sorted rotated array.
Use binary search to find the pivot point where the array is rotated.
Divide the array into two subarrays and perform binary search on the appropriate subarray.
Handle the cases where the target element is at the pivot point or not present in the array.
- Q2. Kth largest element in an array.
- Ans.
Find the Kth largest element in an array.
Sort the array in descending order and return the element at index K-1.
Use a max heap to find the Kth largest element efficiently.
Implement a quickselect algorithm to find the Kth largest element in linear time.
- Q3. Reverse a linked list in group of n element.
- Ans.
Reverse a linked list in groups of n elements.
Divide the linked list into groups of n elements.
Reverse each group individually.
Connect the reversed groups to form the final linked list.
Handle cases where the number of elements is not a multiple of n.
Example: 1->2->3->4->5->6->7->8, n=3 -> 3->2->1->6->5->4->8->7
- Q4. Median of two sorted array.
- Ans.
Find the median of two sorted arrays.
Merge the two arrays into one sorted array and find the median.
Use binary search to find the median in O(log(min(m, n))) time complexity.
Handle edge cases like empty arrays or arrays of different lengths.
- Q5. It was a DP question. In a matrix, I have to count number of paths from (0, 0) to (m, n) while crossing through some indexes were not allowed.
- Ans.
Count number of paths from (0, 0) to (m, n) in a matrix while crossing through some indexes were not allowed.
Use dynamic programming to solve the problem
Create a 2D array to store the number of paths
Traverse the matrix and update the array based on the allowed paths
Return the value at the last index of the array
Interview Preparation Tips
Experience: Interviewer was mainly focused on problem solving skill.
College Name: KIIT University
Skills evaluated in this interview
I appeared for an interview in Aug 2017.
Interview Preparation Tips
Experience: Platform: Hackerearth
20 MCQs with negative marking, topics included OS, DS-Algo, Networking.
2 Programming Problems.
Duration: 1 hour 30 minutes
Total Questions: 22
Round: Technical Interview
Experience: 3 DS-Algo problems were asked. Made to written codes on paper.
Round: Technical Interview
Experience: 2 DS-Algo problems were asked. Made to written codes on paper.
Few OS questions were also asked.
Skills: Data Structures and Algorithms, Operating Systems
College Name: IIT (BHU)
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