Digit Insurance Senior Software Engineer Interview Questions and Answers

Q1. What is event loop, how it works.
Ans. 
Event loop is a mechanism in programming that allows for asynchronous execution of code by continuously checking for and handling events.
• Event loop is commonly used in JavaScript to handle asynchronous operations like setTimeout, setInterval, and AJAX requests.

• It works by continuously checking the event queue for any pending events, executing them one by one, and then moving on to the next event.

• Event loop helps in pre...read more
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Q2. Micro task queue and macro task queue.
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Q3. Is node.js single threaded or multi-threaded, also discuss threadpool and it's usages.
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Q4. Tell the order of output, among process, promise, setTimeout, fs, setInterval.
Ans. 
The order of output is fs, process, setTimeout, setInterval, promise.
• fs module is synchronous and will output first

• process is next in line

• setTimeout will be executed after process

• setInterval will be executed after setTimeout

• promise will be executed last
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Q1. JavaScript usages compiler or interpreter.
Ans. 
JavaScript is an interpreted language.
• JavaScript is an interpreted language, meaning it is executed line by line at runtime.

• There is no separate compilation step in JavaScript like in languages that use compilers.

• Examples of interpreted languages include Python, Ruby, and PHP.
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Q2. Tell the output among various for loops using var, let and bind.
Ans. 
Output comparison of for loops using var, let, and bind in JavaScript.
• Using var: variable is function-scoped, may lead to unexpected behavior in loops.

• Using let: variable is block-scoped, recommended for loop iterations.

• Using bind: creates a new function with a specified 'this' value and initial arguments.
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Q3. A medium level dsa question on array, solved it using pre-sum.
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Q4. Situation based question, on how to pick a suitable database.
Ans. 
Choosing a database involves evaluating data structure, scalability, consistency, and specific use cases.
• Understand data structure: Use SQL for structured data (e.g., PostgreSQL) and NoSQL for unstructured data (e.g., MongoDB).

• Consider scalability: Choose databases like Cassandra for horizontal scaling in large applications.

• Evaluate consistency needs: Use strong consistency databases like MySQL for critical transaction...read more
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Q1. What do you do on daily basis, and how to decide a tech-stack on high level.
Ans. 
I work on coding, debugging, testing, and collaborating with team members. Tech stack decisions are based on project requirements, scalability, performance, and team expertise.
• Daily tasks include coding, debugging, testing, and collaborating with team members

• Tech stack decisions are based on project requirements, scalability, performance, and team expertise

• Consider factors like language compatibility, libraries/framewo...read more
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Q2. Design an online scalable, real-time document sharing application like google docs.
Ans. 
Design a scalable, real-time document sharing app like Google Docs.
• Use websockets for real-time collaboration

• Implement version control to track changes

• Utilize a distributed database for scalability

• Include user authentication and access control

• Support offline editing with automatic sync
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Q3. How to handle images also in the future.
Ans. 
Utilize cloud storage for scalability, implement image compression techniques, and regularly update image processing libraries.
• Utilize cloud storage for scalability

• Implement image compression techniques

• Regularly update image processing libraries
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Q4. Any other way to solve the problem, of high I/O on same document to overcome throughput and conflicts.
Ans. 
Implement strategies like versioning, sharding, and caching to manage high I/O and reduce conflicts on the same document.
• Use versioning to track changes and allow concurrent edits without conflicts. For example, implement optimistic locking.

• Implement sharding to distribute the load across multiple servers, reducing the I/O on a single document.

• Utilize caching mechanisms to store frequently accessed data in memory, mini...read more
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I was asked question on sliding window on finding the largest subarray with all distinct numbers. The interviewer was very helpful.

Q1. Basic java 8 concepts
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Q2. Basic spring boot questions
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Q1. Project discussion and basic java spring technical questions
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Q1. DSA question with Some Stack
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Q2. Discussion around Current project
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Q1. Managerial discussion around resume and some basic java and spring question
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Q2. Java and spring boot question
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Q1. Design LLD of google calendar
Ans. 
Design LLD of google calendar
• Use microservices architecture for scalability and maintainability

• Implement features like event creation, editing, deletion, reminders, and sharing

• Utilize databases for storing user data and events

• Include user authentication and authorization for security

• Integrate with external APIs for syncing with other calendars
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