Honeywell Technology Solutions Senior Software Engineer Interview Questions and Answers

Data Structure related questions

Q1. Java related interview questions
Add your answer

Q1. Explained about micro front end in react js
Add your answer

Q1. Reason for job change
Add your answer
Q2. Can i Work from office for 15 days each month?
Add your answer

Q1. Reverse linked list using the recursion
Ans. 
Reverse a linked list using recursion
• Create a recursive function that takes the head of the linked list as input

• Base case: if the head is null or the next node is null, return the head

• Recursively call the function with the next node as input

• Set the next node's next pointer to the current node

• Set the current node's next pointer to null

• Return the new head of the reversed linked list
Answered by AI
Add your answer
Q2. Find max number in the linked list using stack.
Ans. 
To find max number in linked list using stack.
• Create an empty stack.

• Traverse the linked list and push each element onto the stack.

• Pop elements from the stack and compare with max value.

• Return the max value.
Answered by AI
Add your answer

Q1. Microservices vs monolithic
Ans. 
Microservices are modular and scalable, while monolithic is simpler but less flexible.
• Microservices allow for independent deployment and scaling of individual components

• Monolithic architecture is easier to develop and test, but can become unwieldy as the application grows

• Microservices can be more fault-tolerant and resilient to failures

• Monolithic architecture can be more efficient for small applications with limited fu...read more
Answered by AI
Add your answer
Q2. Difference between microservices and monolithic
Ans. 
Microservices are small, independent services that communicate with each other, while monolithic is a single, self-contained application.
• Microservices are loosely coupled and can be developed and deployed independently.

• Monolithic applications are tightly coupled and require a full deployment for any changes.

• Microservices allow for better scalability and fault tolerance.

• Monolithic applications can be simpler to develop ...read more
Answered by AI
Add your answer

Q1. Zero one knapsack problem
Ans. 
Zero one knapsack problem is a classic optimization problem in computer science.
• It involves selecting a subset of items with maximum value, subject to a weight constraint.

• It is a NP-hard problem and can be solved using dynamic programming.

• Examples include packing a backpack with limited weight capacity or selecting stocks for a portfolio with limited investment budget.
Answered by AI
Add your answer
Q2. 3 sum problem from leetcode
Add your answer

Q1. Indexing a dictionary for faster search
Ans. 
Indexing a dictionary for faster search
• Use hash tables for constant time lookup

• Consider using a trie for prefix search

• Sort the keys for binary search

• Use a balanced tree for range queries
Answered by AI
Add your answer