Honeywell Automation Senior Software Engineer Interview Questions and Answers

Q1. Initializer list use cases
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Q2. Polymorphism and use cases
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Q3. Types of polymorphism
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Types of polymorphism include compile-time polymorphism (method overloading) and runtime polymorphism (method overriding).
• Compile-time polymorphism is achieved through method overloading, where multiple methods have the same name but different parameters.

• Runtime polymorphism is achieved through method overriding, where a subclass provides a specific implementation of a method that is already defined in its superclass.
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Q4. Virtual functions
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Arrays related problem

Q1. React , hooks concept
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Q2. Bootstrap- UI and related questions
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Q1. Sorting methodologies
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Q2. Questions based on previous company projects
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Q1. WPF related question, Oops basics and C#.
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Q2. SQL Server and PL/SQL questions
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Q1. Round interview promoted to 2 round but didn't get call
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Q1. C# Selenium Automation
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Q1. BDD Specflow Framework
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Q1. Project Details/ Framework overview
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Q1. About your family/Job
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Q1. Microservices vs monolithic
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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
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Q2. Difference between microservices and monolithic
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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
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Q1. Zero one knapsack problem
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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.
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Q2. 3 sum problem from leetcode
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Q1. Indexing a dictionary for faster search
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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
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