Patel Associates Interview Questions, Process, and Tips

I did my internship at XYZ Corporation.

• Interned at XYZ Corporation

• Worked in the marketing department

• Assisted in creating social media campaigns

• Conducted market research

• Attended meetings with clients

I learned to take responsibility for my actions and to use my mistakes as opportunities for growth.

• I learned to admit my mistakes and apologize when necessary

• I learned to reflect on my mistakes and identify areas for improvement

• I learned to seek feedback from others and use it to make positive changes

• I learned to not be afraid of failure and to view it as a learning experience

• For example, when I made a mistake at work ...read more

I have the skills, experience, and passion to contribute to the success of your company.

• I have a proven track record of achieving targets and exceeding expectations.

• I possess strong communication and interpersonal skills, which enable me to work effectively with colleagues and clients.

• I am a quick learner and adaptable to new environments and technologies.

• I am passionate about the industry and eager to contribute to th...read more

Yes, I know Java.

• I have experience in Java programming.

• I am familiar with Java syntax and concepts.

• I have worked on Java projects in the past.

To retrieve data from the back end, you can use APIs or database queries.

• Use API calls to fetch data from the back end server.

• Execute database queries to retrieve data from the database.

• Parse the response or query result to extract the required data.

• Handle any necessary authentication or authorization for accessing the back end.

• Examples: GET request to an API endpoint, SELECT query in SQL.

OOP is a programming paradigm based on the concept of objects, which can contain data and code.

• OOP stands for Object-Oriented Programming

• It focuses on creating objects that interact with each other to solve a problem

• Encapsulation, inheritance, and polymorphism are key concepts in OOP

• Example: A car object can have properties like color, make, and model, and methods like start and stop

• OOP promotes code reusability and ma

Find sum of all numbers formed from root to leaf path in a binary tree

• Traverse the binary tree using DFS

• At each leaf node, add the number formed from root to leaf path to a sum variable

• Return the sum variable

• Time complexity: O(n)

• Example: For a binary tree with root value 1, left child 2 and right child 3, the sum would be 12 + 13 = 25

Given a string, print all possible strings that can be made by placing spaces (zero or one) in between them.

• Use recursion to generate all possible combinations of spaces

• For each recursive call, either add a space or don't add a space between the current character and the next character

• Base case is when there are no more characters left to add spaces between

• Time complexity is O(2^n) where n is the length of the string

Preorder traversal without recursion

• Use a stack to keep track of nodes

• Push right child first and then left child onto stack

• Pop top of stack and print value

• Repeat until stack is empty

Find longest continuous patch on a 12 km road with updates in patches

• Maintain a variable to keep track of current patch length

• Update the variable whenever a new patch is added

• Maintain a variable to keep track of longest patch so far

• Compare current patch length with longest patch length and update if necessary

• Use a sorted data structure like a binary search tree to store the patches for efficient search

• Time complexity: ...read more

Find median of an unsorted array.

• Sort the array and find the middle element

• Use quickselect algorithm to find the median in O(n) time

• If the array is small, use brute force to find the median

Find 'k' elements closest to a given number from a stream of characters.

• Use a priority queue to keep track of closest elements.

• Update the queue as new characters come in.

• Return the 'k' closest elements from the queue.

Design a data structure with O(1) insert, remove, find-max, and delete-max operations.

• Use a doubly linked list to maintain the elements in sorted order.

• Use a hash table to store the pointers to the nodes in the linked list.

• Maintain a pointer to the maximum element in the hash table.

• Update the pointers in the hash table when inserting or removing elements.

• Update the maximum pointer when deleting or inserting the maximum

Check if a given linked list is a palindrome.

• Traverse the linked list and store the values in an array.

• Compare the first and last elements of the array, then move towards the center.

• If all elements match, the linked list is a palindrome.

• Alternatively, use two pointers to find the middle of the linked list and reverse the second half.

• Compare the first half with the reversed second half to check for a palindrome.