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Writesonic Interviews

1 experience17 reads
WriteSonic | Full Stack Developer - Interview Experience
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Writesonic
Full Stack Developer
May 21, 202517 reads

Summary

I interviewed with WriteSonic for a Full Stack Developer role across four rounds covering technical concepts, frontend coding, system design, and open-ended technical discussion. Although the final feedback was not positive, it was a valuable learning experience.

Full Experience

I had a chance to interview with WriteSonic for Full Stack Developer Role.

A third party agency reached out to me informing that your profile seems impressive and they are sending it to WriteSonic for screening. Within 3 days, I got a call that I have been shortlisted and asked the availability for interview.

Round 1: Technical Round

  • Find output of given JS code. Tested knowledge of promise, event loop and callback queue.
  • Find output of given react code. Tested knowledge of batching.
  • What is Event loop
  • Difference between concurrency and parallelism.
  • What is virtual dom and why its used.
  • ACID properties
  • AWS RDS benefits
  • Why choose next.js Framework
  • Microservices and Monolithic advantages and disadvantages

Round 2: Frontend Coding Round

  • Given a problem statement, Asked to code the basic frontend (No CSS) with proper functionality. Code should be modular, clean and working. Modified it according to the Follow-ups.

Round 3: Design Round

  • Asked to design a flow when user uploads any document in chatgpt and receives the response in text format. Gave a High level design about the services involved, Rate-limiter, load balancing, database, storage, cache, messaging queue etc. After that, we dived deep into the functionalities of each services, limitations, failure handling, extensibility etc. There were some limitations that a user can't upload more than 10k documents, user after uploading 1 document, cannot upload before a certain interval.

Round 4: Technical Discussion - Open ended

  • This was sort of a technical discussion. Given 1000 unlinked blogs, Design a flow or algorithm to perform internal linking among those blogs efficiently. Had a good discussion regarding the functions required, data structure, ML algorithm to extract anchor tags, score computation etc. At the end, told to design postgres db schema for the same.

Result - Final round feedback was not positive. Overall, it was a great learning experience.

Interview Questions (11)

Q1
JavaScript Promise, Event Loop, and Callback Queue Output
Data Structures & Algorithms

Find output of given JS code. Tested knowledge of promise, event loop and callback queue.

Q2
React Batching Output
Data Structures & Algorithms

Find output of given react code. Tested knowledge of batching.

Q3
What is Event Loop?
Data Structures & Algorithms

What is Event loop

Q4
Difference between Concurrency and Parallelism
Data Structures & Algorithms

Difference between concurrency and parallelism.

Q5
Virtual DOM and its Use
Data Structures & Algorithms

What is virtual dom and why its used.

Q6
ACID Properties
Data Structures & Algorithms

ACID properties

Q7
AWS RDS Benefits
Data Structures & Algorithms

AWS RDS benefits

Q8
Why Choose Next.js Framework?
Data Structures & Algorithms

Why choose next.js Framework

Q9
Microservices vs. Monolithic Advantages and Disadvantages
Data Structures & Algorithms

Microservices and Monolithic advantages and disadvantages

Q10
ChatGPT Document Upload System Design
System Design

Asked to design a flow when user uploads any document in chatgpt and receives the response in text format. Gave a High level design about the services involved, Rate-limiter, load balancing, database, storage, cache, messaging queue etc. After that, we dived deep into the functionalities of each services, limitations, failure handling, extensibility etc. There were some limitations that a user can't upload more than 10k documents, user after uploading 1 document, cannot upload before a certain interval.

Q11
Efficient Internal Linking for 1000 Unlinked Blogs
System Design

Given 1000 unlinked blogs, Design a flow or algorithm to perform internal linking among those blogs efficiently. Had a good discussion regarding the functions required, data structure, ML algorithm to extract anchor tags, score computation etc. At the end, told to design postgres db schema for the same.

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