BrowserStack Interview Questions, Process, and Tips

Churn and ARR, analysis, structured thinking

Q1. Why do you want to join BS?
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Q2. Tell me about yourself, one challenging problem statement
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Machine coding round

Q1. About projects, like the what stack used
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Q2. Hr question about why to join browserstack
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Q1. How google.com works
Ans. 
Google.com is a search engine that uses web crawlers to index websites and algorithms to rank search results.
• Google uses web crawlers to index websites and store information in its database.

• Algorithms are used to rank search results based on relevance and popularity.

• Google also uses personalized search results based on user data and location.

• Google's homepage is simple and fast-loading to provide a user-friendly experi
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Q2. How rest works, in array of 500 elements give top 15 elements discussion about complexities
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Q1. General question about the project, challenges, etc
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Q1. Implement tail -f command w/o use of external libraries
Ans. 
Implementing tail -f command without external libraries in Python
• Open the file in read mode

• Use a loop to continuously read new lines added to the file

• Print the new lines as they are read
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Q1. General questions on challenges, current role, production issues
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Q2. DSA Question - next warm day
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MCQ based Questions from topics of DSA , web development

Q1. Asked us to live code tail -f unix command
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Stream a live log file to browser

Q1. Existing project details
Ans. 
The existing project is a web application for managing inventory and sales.
• Built using React for the front-end and Node.js for the back-end

• Uses MongoDB as the database

• Includes features such as user authentication, product management, and sales tracking
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Q1. Scale up existing project
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Scaling up an existing project involves optimizing performance, increasing capacity, and improving efficiency.
• Identify bottlenecks and areas for improvement

• Implement caching mechanisms to reduce load times

• Optimize database queries for faster retrieval

• Upgrade hardware or infrastructure to handle increased traffic

• Use load balancing to distribute traffic evenly across servers
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