Implement a React CRUD Table

Last updated: Mar 29, 2026

Quick Overview

Implement a React CRUD Table evaluates requirements, assumptions, structured reasoning, trade-offs, and verification in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

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Implement a React CRUD Table

SoFi

Jul 16, 2025, 12:00 AM

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Implement a React CRUD Table

React CRUD Data Table — Build and Explain

Context

Design and implement a React application that renders a data table with full CRUD capabilities and a production-ready user experience. Assume a REST API is available; if not, stub/mock one. Optimize for clarity, accessibility, and performance.

Requirements

Data table features
- Pagination (client or server-driven)
- Sorting (single-column minimum; multi-column optional)
- Inline editing (per-row)
- Create, Read, Update, Delete (CRUD)
- Form validation (client-side; surface server-side errors)
- Optimistic updates with rollback on error
- Robust error handling (toasts/banners, retry)
Architecture explanation
- State management strategy (local vs. global/server-state)
- Component structure and responsibilities
- Accessibility considerations (semantics, keyboard, ARIA)
- Performance considerations (virtualization, memoization)

Assumptions (you may adjust as needed)

REST endpoints:
- GET /users?page=1&pageSize=20&sortBy=name&sortDir=asc
- POST /users
- PUT /users/:id
- DELETE /users/:id
Entity fields: id, name, email, role, status

Deliverables

A working implementation or detailed blueprint with code sketches
Explanation of design choices for state, components, a11y, and performance
Notes on pitfalls, edge cases, and validation/rollback guardrails

Constraints & Assumptions

Preserve the scope, facts, inputs, and requested outputs from the prompt above.
If the prompt leaves a detail unspecified, state a reasonable assumption before relying on it.
Keep the answer interview-ready: concise enough to present, but concrete enough to implement or evaluate.

Clarifying Questions to Ask

Clarify the goal, inputs, constraints, stakeholders, and success criteria.
State assumptions before using them.
Keep the answer grounded in the prompt rather than adding outside facts.

What a Strong Answer Covers

A structured framing of the problem and constraints.
A concrete approach with trade-offs and edge cases.
A way to validate the answer and communicate the recommendation.

Follow-up Questions

What assumption is most important to validate first?
What could make the answer fail in practice?
How would you explain the result to a non-technical stakeholder?

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