Implement a React CRUD Table

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.

Implement a React CRUD Table

Company: SoFi

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: hard

Interview Round: Onsite

Build a React application that renders a data table supporting create, read, update, and delete operations. Include pagination, sorting, inline editing, form validation, optimistic updates, and error handling. Explain your state management approach (local vs. global), component structure, accessibility, and performance considerations such as virtualization and memoization.

Quick Answer: 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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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

  1. 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)
  2. 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

Clarifying Questions to Ask Guidance

  • 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 Guidance

  • 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 Guidance

  • 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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