AniUI Academy
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Frontend System Design Certification

One paper across the whole course: rendering strategy trade-offs from CSR through streaming SSR, state management at scale, performance engineering against Core Web Vitals, micro-frontends and architecture at scale, design systems, and worked interview scenarios. Sat in one two-hour-twenty sitting.

Sitting
165 minutes
Questions
65
Pass mark
70%
Price
₹199$9.99

Sit this when you can do these without looking them up

This is not a certificate of attendance. It is 65 questions in 165 minutes at 70% with no partial credit and one attempt, and roughly a third of the paper is foundations — the certificate is for the whole language, not the parts you enjoyed.

  • Explain when you'd reach for ISR over plain SSR or SSG, and what staleness window you're accepting to get there
  • Say why hydration is expensive even after a fast server-rendered first paint, and what islands or resumability change about that cost
  • Choose between local, lifted, and global state for a described case, and defend why 'just make it global' is the wrong default
  • Explain why server state and client state need different tools to manage, not just different variable names
  • Diagnose which Core Web Vital a described symptom is actually hurting, and name the concrete fix rather than a generic 'make it faster'
  • Justify — or rule out — micro-frontends for a described team's actual pain point, instead of reaching for them as a default architecture
  • Walk a 'design X' prompt end to end — feed, Kanban, diff viewer, search autocomplete, video player, analytics dashboard, infinite canvas: clarify requirements, name trade-offs explicitly, and say 'it depends' with the specific conditions that make it true

If you'd rather find out than guess, the free 5-question readiness check reports a predicted band in two minutes. If several readiness points are unfamiliar, the free course covers everything on the syllabus.

Take the free 5-question checkOr try the longer 10-question practice paper

Syllabus

Every paper is drawn to this mix, so the weights are a promise rather than a guide. The bars show each area's share of the 65 questions.

  • CSR, SSR, and SSG: the real trade-offs

    3 Q·5%

    What each rendering strategy actually does, and the honest trade-offs in TTFB, time-to-interactive, SEO, and infrastructure cost.

  • Incremental Static Regeneration

    2 Q·3%

    Stale-while-revalidate at the page level, time-based versus on-demand revalidation, and where ISR is the wrong tool.

  • Streaming SSR and Suspense

    2 Q·3%

    Why one slow dependency blocks a whole SSR response, and how Suspense boundaries let fast content ship first.

  • Hydration and why it's expensive

    3 Q·5%

    What hydration actually re-executes after paint, why a finished-looking page can still be unresponsive, and partial/progressive hydration.

  • Resumability, islands, and choosing a rendering strategy

    2 Q·3%

    Islands architecture, resumability as a further alternative to full-page hydration, and a repeatable framework for choosing per route.

  • Local, lifted, and global state

    2 Q·3%

    Defaulting to the smallest scope that works, lifting to a common ancestor, and why 'everything global' erodes locality of reasoning.

  • Normalizing state shape

    2 Q·3%

    Duplicated nested entities as a bug source, ID-keyed normalization, and the write-time/read-time trade it makes.

  • Server state vs. client state

    4 Q·6%

    Why server-owned data is a fundamentally different problem — staleness, revalidation, deduplication, cache invalidation — from local UI state.

  • Optimistic updates and rollback

    2 Q·3%

    Hiding latency by updating before server confirmation, the rollback path this obligates, and reconciling concurrent mutations.

  • State machines for complex UI

    3 Q·5%

    Why independent booleans allow impossible states, and modeling explicit states and named transitions instead.

  • The critical rendering path

    2 Q·3%

    DOM/CSSOM to render tree to layout to paint, which resources block it, and the concrete levers (defer/async, critical CSS, resource hints).

  • Code-splitting and bundle budgets

    2 Q·3%

    Route- and component-level splitting, the prefetching trade-off it introduces, and enforcing a real, CI-checked bundle budget.

  • Virtualization for large lists

    2 Q·3%

    The real cost of rendering unbounded lists in full, windowing to render only the visible range, and fixed vs. variable item heights.

  • Memoization strategy and its costs

    3 Q·5%

    React.memo, useMemo, and useCallback as a comparison-cost-for-render-cost trade, and why memoizing everything can be net slower.

  • Core Web Vitals, images, and fonts

    2 Q·3%

    LCP, INP, and CLS as distinct, targeted metrics, and the concrete image and font strategies that move each one.

  • Why and when to split a frontend

    2 Q·3%

    The organizational problem micro-frontends actually solve, and the real costs — duplicated dependencies, cross-team contracts.

  • Module federation and composition models

    2 Q·3%

    How independently built pieces compose at runtime, and the build-time versus run-time composition trade-off.

  • The well-organized monolith alternative

    2 Q·3%

    What actually makes a monolith painful, and how enforced module boundaries and fast CI deliver the same benefit without splitting.

  • Building a component library that scales

    2 Q·3%

    Layering tokens, primitives, and patterns, resisting scope creep on shared components, and real ownership of the library's coherence.

  • API design for shared components

    2 Q·3%

    Composition over configuration, controlled versus uncontrolled components, and consistent naming across a component library.

  • Versioning and breaking changes

    1 Q·2%

    Honoring semantic versioning as a promise, deprecation windows, and codemods for migrating consumers.

  • Theming and design tokens

    1 Q·2%

    Tokens as indirection between a design decision and its usage sites, and semantic tokens as what makes dark mode and rebrands tractable.

  • How to approach a system design interview

    2 Q·3%

    Clarifying requirements before proposing a solution, naming trade-offs explicitly, and when 'it depends' is the strongest answer.

  • Worked scenario: a social media feed

    2 Q·3%

    Splitting rendering strategy by public/indexable versus personalized, normalized feed data, virtualization, and optimistic likes.

  • Worked scenario: an image-heavy e-commerce PLP

    2 Q·3%

    ISR for SEO-sensitive periodically-changing listings, image strategy against LCP/CLS, and URL-driven filter state.

  • Worked scenario: a real-time collaborative editor

    1 Q·2%

    Why the editing surface is a CSR case, optimism at typing-latency stakes, and CRDTs/OT conceptually for concurrent edits.

  • Worked scenario: a Kanban board

    1 Q·2%

    Per-column virtualization, drag under concurrent writes, filter state in the URL as the shareable primitive, and real-time reconciliation.

  • Worked scenario: a collaborative wiki

    1 Q·2%

    SSR reader + CSR editor split, progressive tree loading, CRDT/OT for concurrent editing, autosave with real conflict merge, and honest presence.

  • Worked scenario: a code-review diff viewer

    1 Q·2%

    Two-level virtualization (file + line), highlighting split between main thread and Worker, and content-addressed comment anchors across force-pushes.

  • Worked scenario: a CI/CD pipeline dashboard

    1 Q·2%

    Layered-DAG stage layout, virtualized log with bounded live tail and user-controlled auto-scroll, and server-filtered run history with URL state.

  • Worked scenario: a browser code editor

    1 Q·2%

    Owning the render loop instead of React-per-line, tokenization split between main thread and Worker, latency-budget tiering, and sandboxed extensions.

  • Worked scenario: a chat with threads

    1 Q·2%

    Variable-height virtualization with pinned-bottom and two-direction windowing, threads as a parallel URL, coalesced typing indicators, and heartbeat-based presence.

  • Worked scenario: a search autocomplete

    1 Q·2%

    Debounce + cancellation + match-on-response, bounded LRU with stale-while-revalidate, and the combobox ARIA pattern.

  • Worked scenario: a video player

    1 Q·2%

    Adaptive bitrate (HLS/DASH), DRM via EME as a trust boundary, custom controls, WebVTT captions, and QoE telemetry.

  • Worked scenario: an analytics dashboard

    1 Q·2%

    Progressive query loading via IntersectionObserver, keyed cancellation, SVG/canvas/WebGL by point density, and URL-as-state for time range and filters.

  • Worked scenario: an infinite canvas

    1 Q·2%

    Single canvas with viewport culling via a spatial index, one-transform-matrix pan+zoom, hit-testing from the index, and local-first drag with throttled multi-user sync.

Three questions from the bank

Representative of the mix and difficulty — answer visible, shown here to calibrate expectations rather than test you.

  1. Sample 1CSR, SSR, and SSG: the real trade-offs

    A team is deciding between CSR and SSR for a new marketing page. Which question should drive that decision?

    • Which one requires writing less CSS
    • How often the content changes and whether it needs to be indexed or load fast on a slow connection
    • Which one uses a newer version of React
    • Whether the page has any images

    Why: The rendering-strategy decision hinges on who the content is for and how it behaves: does it need to be crawlable and fast on a first load (favoring SSR/SSG), and does it change rarely enough to pre-render. CSS, React version, and images are unrelated to this specific trade-off.

  2. Sample 2Incremental Static Regeneration

    What specific weakness of plain SSG does ISR address?

    • That SSG pages cannot be cached by a CDN
    • That reflecting any content change requires rebuilding the entire site, which doesn't scale to large or frequently-changing content
    • That SSG pages are not allowed to include client-side JavaScript
    • That SSG cannot be used for e-commerce sites

    Why: SSG's actual weakness is freshness at scale — a full rebuild per change is fine for a handful of pages and untenable for a large or fast-changing catalog. ISR lets individual pages regenerate on their own schedule instead, without touching CDN caching, JS support, or site type.

  3. Sample 3Streaming SSR and Suspense

    In traditional, non-streaming SSR, why does one slow data dependency delay the entire page response?

    • Non-streaming SSR only supports a single data source per page
    • Slow data sources are automatically retried several times before the server responds
    • The browser refuses to render a page assembled from multiple responses
    • The server must finish rendering the complete page before sending any part of the response

    Why: Non-streaming SSR buffers the entire document and sends it once everything — including whatever is stuck behind the slowest fetch — has finished. A single slow dependency holds the whole response hostage even if most of the page was ready almost instantly.

What this does NOT replace

An honest comparison, because overclaiming cert value helps nobody and gets caught by anyone who hires.

  • This is not an AWS / Google / Microsoft vendor certification — those cover a proprietary platform, carry employer discounts, and some recruiters filter resumes against them. If a role explicitly names those, this doesn't substitute.
  • This is not a replacement for a degree, a bootcamp with job placement, or shipping real work. Those produce different evidence. A certificate is a focused signal, not a career.
  • This is a focused, honest signal that you can hold the full syllabus in your head under a clock. Pair it with a résumé that shows what you've built — that's the combination that lands interviews.

Everything on this syllabus is taught free

The System Design course covers the whole syllabus above across 41 lessons, with a playground in each one. Work through it first — the exam is the same material under a clock.

Open the System Design course

What sitting it is like

The exam opens full screen with a countdown, a question at a time, and a grid showing what you have answered and what you have flagged to come back to. Nothing is submitted until you say so, or the clock reaches zero.

Every answer saves to the server as you give it. If your laptop dies at question forty, sign back in and you will find question forty exactly as you left it — with however much time was left still ticking, because the clock does not pause.

Leaving full screen or switching tabs is noted but does not end your exam. It is a record, not a trap: nobody is auto-failed for a notification stealing focus.

When it ends you get your mark, a topic-by-topic breakdown, and every question with the right answer and an explanation — whether you passed or not. Passing also produces a certificate with a link anyone can verify.