Backend Study Lab · Games
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HTTP Cache Policy Lab

Choose browser and shared-cache policies for public, personalized, validated, and variant API responses.

Concept
HTTP cache policy and sensitive response boundaries
Difficulty
Intermediate
Play time
7-10 minutes
Path
Data & Performance

Interactive scenario

Playable game area: Make the next backend decision

Use the controls below. Feedback appears immediately and final scores stay in this browser.

Concept notes

Why this decision matters

HTTP Cache Policy Lab is focused practice for HTTP cache policy and sensitive response boundaries. It explains why each answer is safe, risky, or production-ready.

Make cache behavior part of the API contract instead of an accidental intermediary choice.

Learning objectives

  • Select explicit browser and shared-cache policies.
  • Prevent personalized response leakage.
  • Use validators and Vary correctly.

How to play

  1. Inspect the response and reuse requirements.
  2. Choose the narrowest correct policy.
  3. Review storage, reuse, freshness, and privacy separately.

Scoring

  • Correct policies add 250 points.
  • Misses enter local review.
  • A perfect run scores 1,000.

Backend concept notes

HTTP caching controls storage, reuse, and freshness across browsers and shared caches.

Application cache eviction is a separate concern from protocol cache semantics.

Common mistakes

  • Caching personalized responses publicly.
  • Treating no-cache as no storage.
  • Omitting Vary for negotiated representations.

Review misses from this game

Related Backend Study Lab tools

Use tools from the main site when you want to inspect real inputs.

Keep practicing nearby backend concepts while the mental model is fresh.

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Auth Token Inspector

Inspect authentication scenarios and choose safe backend decisions for tokens, scopes, sessions, CSRF, and object-level authorization.

Time
6-9 minutes
Concept
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  • Auth
  • JWT
  • sessions
Play Auth Token Inspector
Caching Beginner

Cache Eviction Lab

Predict cache hits and misses as requests flow through an LRU cache, then experiment with TTL behavior and stale data tradeoffs.

Time
5-8 minutes
Concept
Cache hits, misses, LRU, TTL, and stale data
  • Data & Performance
  • Algorithmic Reasoning
  • cache
  • LRU
  • TTL
Play Cache Eviction Lab
HTTP Caching Advanced

ETag & CDN Revalidation Lab

Follow validators through browser, CDN, and origin while handling 304 responses, representation variants, purge, and bounded staleness.

Time
8-12 minutes
Concept
Conditional requests and CDN cache operation
  • Data & Performance
  • etag
  • cdn
  • conditional requests
Play ETag & CDN Revalidation Lab

FAQ

Short answers for how this game fits backend interview and study practice.

Does no-cache prevent storage?

No. It requires successful validation before reuse.

When should no-store be used?

When the response should not be stored by the participating caches.

Leaderboard

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