Skip to main content
All Questions

What is an API and how does it work?

Interview experiences

3 shared
Microsoft · 5 months ago
"What went well: The live coding and system architecture rounds went smoothly. I was able to articulate my design choices clearly, especially around API design, database strategy, and maintaining high availability for microservices. What didn’t go well: The initial behavioral portion felt slightly rushed because we spent extra time discussing specific cross-functional project dynamics from my previous roles. How does this interview compare to other interviews you've done? It was significantly more interactive. Rather than giving static answers, the interviewers actively challenged my assumptions and asked "what if" scenarios, making the evaluation feel comprehensive and realistic to day-to-day work."
Machine Learning Engineer · Entry Level / L3
Okta · 8 months ago
"The process was highly structured and intellectually demanding, spanning five distinct rounds that tested engineering fundamentals, product design, strategy, and leadership. It felt more rigorous than many standard big-tech interviews because it required a deep dive into Okta’s specific ecosystem, particularly the Okta Integration Network (OIN) and its technical nuances."
Product Manager · Entry Level / L3
Indeed · 2 years ago
"Recruiter was good at communicating throughout and the interviewers seemed really engaged in the process. Excitable about their space. There is a product design portion where, given a prompt and UX snippet, users are asked to design a solution to the prompt. You are given about 30 min and then are grilled on that. There’s a basic analysis portion ensuring you can read basic data and infer decisions."
Product Manager · Mid Level / L4

Community answers

No answers contributed by the community yet.

Related courses

Course

Machine Learning Engineer Interview Prep

Land your dream machine learning role at Meta, Google, Amazon, Apple, Microsoft, Nvidia, and other top companies. Learn from mock interviews, frameworks, and advice from senior candidates. Explore ML system design, core concepts, coding, behavioral interviews, and more.

Course

Product Management Interview Prep

Land your dream PM role at Anthropic, OpenAI, Meta, Apple, Google, and more. AI product sense rounds, vibe-coding prototypes, metrics questions, and the AI fluency interviewers now expect. Ace product strategy, product sense, analytical & execution, leadership & drive (behavioral), and technical PM interviews.