React Easy technical 0 views 2 min read

Would you put all API data into Redux?

Peer-reviewed by HireXTech Technical Panel Updated for 2025/2026 hiring Editorial standards
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Interviewer Expectations for this Question
01
Core Competency

Assesses fundamental understanding of React conventions, runtime behavior, and memory/performance considerations.

02
Evaluation Criteria

Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.

Comprehensive Model Answer Verified Solution

No — not by default. Server data (see [client state vs server state](#what-is-the-difference-between-client-state-and-server-state)) has different needs than plain client state: caching, background refetching, deduplication of in-flight requests, invalidation, pagination, and loading/error tracking. Hand-rolling all of that inside Redux slices reinvents a data-fetching layer.

Guidance:

  • Use RTK Query (or React Query/SWR) for server data — these libraries already integrate with the Redux store (RTK Query lives inside your Redux store) and handle caching/invalidation/refetching for you.
  • Use plain Redux slices for genuine client state: UI state, auth/session flags, user preferences, multi-step form state, feature toggles — anything that isn't just a mirror of server data.
  • Avoid duplicating server data into a separate hand-written slice "just in case" — it creates two sources of truth that can drift out of sync (e.g., a users slice updated manually alongside an RTK Query cache for the same endpoint).
  • It's fine to combine both: e.g., store the *currently selected* item's ID in a normal slice, while the actual item data comes from an RTK Query/React Query cache keyed by that ID.

In short, Redux (or any store) is best reserved for state your UI truly owns; let a dedicated data-fetching layer own anything that mirrors the server.

Candidate Response Strategy & Interview Tips

  1. Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
  2. Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
  3. Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
  4. Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.
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