Decisions QA Engineer Interview Questions and Answers

What is difference between severity and priority

Dsa. , oops and basics of database management

Q1. System design questions basics
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Q2. Hiring managers questions
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There were 3 questions, which I had to do in 2 hours.
the questions were from arrays and Strings

Q1. They asked me concepts on OOPS and OS, also coding question on strings. all these were basic questions
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Q1. Questions such as where do you see yourself in coming years, interests and hobbies.
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Write codes on recursion

Q1. What are the process involved in SDLC lifecyle
Ans. 
SDLC lifecycle involves planning, designing, developing, testing, deploying, and maintaining software.
• Planning: Define project scope, requirements, and timelines.

• Design: Create architecture, UI/UX, and database design.

• Development: Write code based on design specifications.

• Testing: Conduct unit, integration, and system testing.

• Deployment: Release software to production environment.

• Maintenance: Provide updates, fixes, an
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Q2. Difference between client side and server side? Is JavaScript client side?
Ans. 
Client side refers to the user's device where code is executed, while server side refers to the server where code is executed. JavaScript is client side.
• Client side refers to code executed on the user's device, such as web browsers.

• Server side refers to code executed on the server, handling requests and generating responses.

• JavaScript is a client side scripting language, allowing dynamic interactions on web pages.
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Q1. What are your strengths and weaknesses
Ans. 
My strengths include problem-solving skills and attention to detail. My weaknesses include sometimes being too critical of my own work.
• Strengths: problem-solving skills

• Strengths: attention to detail

• Weaknesses: being too critical of my own work
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Basic Js concepts like debouncing,event loop, and other output-based questions.

Q1. Js concepts in depth
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Q1. Hiring manager round, questions around my project
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Q2. Optimization techniques
Ans. 
Optimization techniques are methods used to improve the efficiency and performance of software applications.
• Use algorithms like greedy, dynamic programming, or divide and conquer to optimize code

• Minimize time complexity by avoiding nested loops and unnecessary iterations

• Utilize data structures like hash tables, arrays, and trees for efficient storage and retrieval

• Profile code to identify bottlenecks and optimize critic...read more
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