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rootnode-academy/scenarios/data/labels-selectors-mcq.json
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ced4568andClaude Sonnet 5 60fbf0c385 feat(curriculum): add RootNode learning path, student roster, and scenario isolation metadata
Pre-Phase-1 platform work, approved and tested earlier but not yet committed:

- Terminal banner: "RootNode Academy Lab — node: k8s-lab", upstream KubeKosh
  attribution left untouched in footer/README/LICENSE.
- RootNode curriculum mode: scenarios/rootnode-path.json (Foundation -> Workloads
  -> Networking -> Configuration -> Troubleshooting -> Real Ops -> Capstone),
  built from existing scenario content grouped by category, no new scenarios
  invented. New GET /api/curriculum/path endpoint.
- Student roster + per-student progress: instructor-roster, pick-your-name login
  (no password), students/environments-adjacent progress table migrated to a
  (student_id, scenario_id) composite key so practice progress and exam sessions
  are isolated per student instead of one global bucket. New /api/roster,
  /api/login endpoints.
- scenarios/data/*.json: added isolation_type metadata (shared_namespace vs
  ephemeral_cluster) from an audit of which scenarios execute cluster-scoped or
  node-level commands. This was Tier-1-isolation groundwork that got superseded
  same-day by the full-ephemeral-per-student architecture (see
  docs/LAB_ARCHITECTURE.md) — the field is kept as descriptive metadata only,
  per the note now in scenarios/SCHEMA.md. Not wasted: it's an accurate audit of
  which scenarios touch cluster-scoped resources, useful independent of isolation
  model.
- .gitignore added (node_modules/, frontend/dist/, *.db, /data/, .env) — none
  existed before; without it, npm installs during testing would have landed in
  a commit.

Known limitation still open: no frontend UI for any of this yet (login screen,
roster-add form, curriculum view) — API-only. No auth on the roster-add endpoint.

Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-08-18 01:21:16 -05:00

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JSON

{
"id": "labels-selectors-mcq",
"title": "Labels and Selectors",
"category": "Core Concepts",
"isolation_type": "shared_namespace",
"difficulty": "Easy",
"type": "mcq",
"weight": 3,
"description": "## Labels and Selectors\n\nYou run the following command:\n\n```bash\nkubectl get pods -l env=prod,tier=frontend\n```\n\nWhat does this command return?",
"options": [
{
"id": "a",
"text": "Pods that have BOTH `env=prod` AND `tier=frontend` labels"
},
{
"id": "b",
"text": "Pods that have either `env=prod` OR `tier=frontend` labels"
},
{
"id": "c",
"text": "Pods that do NOT have `env=prod` or `tier=frontend` labels"
},
{
"id": "d",
"text": "All pods, sorted by the `env` and `tier` label values"
}
],
"correct_option": "a",
"explanation": "When you specify multiple label selector expressions separated by commas, Kubernetes applies a logical **AND** — all conditions must be true. Only pods that have both `env=prod` **and** `tier=frontend` are returned. Use `-l 'env in (prod,staging)'` for OR-style matching.",
"hints": [
{
"title": "How comma-separated selectors work",
"body": "The `-l` flag accepts a comma-separated list of `key=value` expressions. Multiple expressions are ANDed together — all must match for a pod to be included in the result.",
"command": "kubectl get pods -l env=prod,tier=frontend"
}
],
"setup_commands": [],
"default_namespace": "default",
"teardown_commands": []
}