FSFrontend School
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FAANG PrepQuestionsPricingSuccess StoriesCommunitySupport
FSFrontend School

AI Frontend Interview Simulator for FAANG and product companies.

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Interview Questions

Frontend Interview Questions

Realistic question sets for JavaScript, React, and frontend system design. In the simulator, your answers are evaluated with AI scoring and converted into personalized prep plans.

JS/TS

JavaScript & TypeScript

  • Explain the event loop and microtask queue.

    What to cover: Cover call stack, task queue, microtask queue ordering, and real async examples.

  • How would you implement debounce from scratch?

    What to cover: Demonstrate closure, timer management, and leading/trailing edge variants.

  • Difference between var, let, and const in terms of scope.

    What to cover: Cover hoisting, temporal dead zone, block vs function scope, and reassignment rules.

  • How does the TypeScript type system handle structural typing?

    What to cover: Explain duck typing, excess property checking, and assignability rules.

React

React

  • Explain reconciliation and the virtual DOM.

    What to cover: Cover diffing algorithm, keys, fiber architecture, and render batching.

  • When would you use useMemo vs useCallback?

    What to cover: Address referential stability, expensive computations, and common misuse patterns.

  • Design a custom hook for form validation.

    What to cover: Show composability, error state management, touched tracking, and reusability.

  • How would you prevent unnecessary re-renders in a large list?

    What to cover: Cover React.memo, key stability, context splitting, and virtualization.

System Design

Frontend System Design

  • Design a real-time collaborative editor.

    What to cover: Cover WebSockets, CRDTs or OT, conflict resolution, offline sync, and cursors.

  • How would you scale a dashboard with 10M data points?

    What to cover: Discuss aggregation, pagination, virtual scrolling, lazy loading, and WebWorkers.

  • Design a URL shortener with analytics.

    What to cover: Address hash generation, redirect strategy, click tracking, and CDN placement.

  • How would you architect a design system for 50 product teams?

    What to cover: Cover token architecture, versioning, monorepo vs polyrepo, and adoption strategy.

Behavioral

Behavioral

  • Tell me about a time you disagreed with your tech lead's technical decision.

    What to cover: Use STAR format. Emphasize data-driven reasoning, how you raised the concern respectfully, and the outcome.

  • Describe a project where you owned end-to-end delivery.

    What to cover: Show initiative, cross-functional coordination, how you handled blockers, and what you shipped.

  • How have you helped a struggling teammate without being asked?

    What to cover: Highlight empathy, concrete actions taken, and the impact on team velocity or morale.

  • Tell me about a time you had to balance technical debt against a tight deadline.

    What to cover: Cover the trade-off reasoning, how you documented the debt, and what you'd do differently.

How answer evaluation works

AI-powered scoring

Every answer is evaluated against a structured rubric with depth, clarity, and correctness scores.

Targeted prep modules

Weak answers automatically generate focused practice rounds for the exact skill gap.

Interview-realistic format

Questions are framed like real panels — not trivia. You're expected to reason out loud.

Practice with real-time AI feedback

Go beyond reading questions. Get scored on your actual answers and build a structured prep plan from your specific gaps.

Practice in the SimulatorView Plans