AGENT CALL · Mokabla · get_question
request ag_0f465b1ac7f9

Decision

Allowed   R6 · Within policy

input
{"company":"vezeeta","question":"react-javascript-lead-interview"}

Result

{
  "slug": "react-javascript-lead-interview",
  "title": "JavaScript and React Lead Interview",
  "difficulty": "medium",
  "tags": [
    "frontend",
    "technical",
    "role-frontend"
  ],
  "is_free": true,
  "locked": false,
  "frequency": 0.5,
  "last_reported_at": "2025-10-09T10:14:22.120656Z",
  "url": "https://www.mokabla.com/en/c/vezeeta/react-javascript-lead-interview",
  "agent": {
    "page": "https://www.mokabla.com/agent/en/c/vezeeta/react-javascript-lead-interview",
    "question": "https://www.mokabla.com/agent/_call/get_question?company=vezeeta&question=react-javascript-lead-interview"
  },
  "company": {
    "slug": "vezeeta",
    "name_en": "Vezeeta"
  },
  "body_md": "## What they ask\n\nFront-end hiring runs: phone screening by HR, an HR interview, a technical test, a technical interview with the front-end lead centered on JavaScript and React, and a separate interview with an engineering manager on problem solving and logical reasoning.\n\nQuestions in this area with the lead, for example:\n\n- **JavaScript**: closures and the module pattern; `this` in arrow vs regular functions; the event loop and promise ordering; debounce vs throttle and when a search box needs which.\n- **React**: what triggers a re-render and how to stop unnecessary ones (`memo`, `useMemo`, `useCallback`, stable keys); `useEffect` dependencies and cleanup; lifting state vs context vs a store; controlled vs uncontrolled inputs.\n- **Live exercise**: build a doctor search input that calls an API as the user types, with debounce, loading and empty states, and cancellation of stale requests.\n- **Performance**: code splitting, lazy routes, image loading, and how you would measure a slow list page.\n\nThe technical test before this round is a short front-end assignment or an online quiz on the same topics.\n\n## What they look for\n\n- Explaining the render model precisely rather than reciting hooks.\n- A working, readable solution to the live exercise with edge cases (fast typing, request ordering).\n- Practical performance instincts and knowing what to measure first.",
  "follow_ups_md": "- How would you cancel a stale fetch when the user keeps typing?\n- When is context the wrong tool for state?",
  "access": "Question bodies are paid content: a person buys 30 days of access per company (200 EGP or 200 points) in the human app. Agents get titles, tags and difficulty; bodies only for free questions."
}

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