Raytheon Interview Questions and Answers

Q1. Diff btwn const and readonly
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Q2. Diff btwn SP and Functions
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Q3. Difference between Truncate and Delete?Which is faster and why?
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Q4. What is Liskov Substitution Principle
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Q1. Basic questions for .Net and stored procedure
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Q2. Questions like functions and sp difference, solid principles etc.
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Q1. Two programs based on hacker earth test.
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Q1. Use less questions based on 25 horses running a race ...
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Q2. Question based on reverse a string
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Q3. Question on git commands(who asks these)
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Q4. Questions based on stack and heap memory
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Q5. Questions on explaining useless unworthy questions having no relevance to any experience of work.
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Q1. Node js working in detail
Ans. 
Node.js is a runtime environment that allows you to run JavaScript on the server side.
• Node.js is built on Chrome's V8 JavaScript engine.

• It uses an event-driven, non-blocking I/O model that makes it lightweight and efficient.

• Node.js is commonly used for building server-side applications, APIs, and real-time applications.

• It has a large ecosystem of libraries and frameworks, such as Express.js and Socket.io.
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Q2. Timer working in node
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In Node.js, timers can be implemented using functions like setTimeout() and setInterval().
• Use setTimeout() to execute a function once after a specified delay

• Use setInterval() to execute a function repeatedly at a specified interval

• Clear a timer using clearTimeout() or clearInterval()

• Example: setTimeout(() => { console.log('Timer executed!'); }, 2000);
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Q1. HLD questions on db and backend
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Q2. Relational non relational db
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Q1. What is the internal implementation of Hashing and what is collision?
Ans. 
Hashing is a technique used to map data to a fixed-size array, collision occurs when two different inputs produce the same hash value.
• Hashing involves using a hash function to map data to a fixed-size array.

• Collision happens when two different inputs produce the same hash value.

• Common techniques to handle collisions include chaining and open addressing.
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Q2. Is time complexity of HashMap always O(1) ?
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No, time complexity of HashMap is not always O(1).
• Time complexity of HashMap is O(1) on average, but can degrade to O(n) in worst case scenarios.

• Worst case scenarios include hash collisions, which can lead to linear probing and degrade performance.

• Load factor and capacity of the HashMap can also affect time complexity.

• In scenarios where many keys hash to the same index, the time complexity can degrade.
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Q1. Yet to have the interview. Ambition box is forcefully making me enter these details
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So many coding words and also maths Question in percentage of clothes price about nature types

Q1. Math percentage question answer, about clothes and buying products.
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Q2. Half about nature and some natural resources.
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Q3. All about country's details type question and half about nature type
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Q4. Some about maths percentage of buying clothes types question
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Q5. And some rock type material type question
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10 th pass Question Ans and are very easy to solve i like it very much i try to do my best.