JSON Assignments — Model. Parse. Validate.

Level up your data skills with topic-wise JSON assignments. Each set contains 20 Basic, 20 Intermediate, and 10 Advanced questions so learners grow from fundamentals to production-ready data modeling and integrations.

Why practice with these assignments?

  • Go beyond theory—model real entities and work with nested data.
  • Master parse/stringify, safe error handling, and transformations.
  • Fetch remote JSON, cache it, and persist to localStorage.
  • Prepare for interviews and full-stack work with realistic tasks.

How it works

  1. Pick a topic from the list.
  2. Attempt questions in order: Basic → Intermediate → Advanced.
  3. Run examples in the browser console or a Node REPL.
  4. Validate with a JSON linter/validator; add tests for tricky transforms.
  5. Save your best solutions for your portfolio. 

What you’ll achieve

  • Strong mental model of JSON structures and best practices.
  • Confidence with arrays/objects, nested shapes, and API payloads.
  • Fluency in error-proof parsing, iteration, and data transforms.
  • Production habits: schema awareness, storage, and performance.

Who should use this page?

Beginners learning JSON, students preparing for interviews, and developers who want practical, reusable patterns for front-end and back-end work.

Tips for success

  • Keep keys quoted and values valid—no trailing commas.
  • Prefer consistent shapes (e.g., arrays of uniform objects).
  • Use small, pure helpers for transforms (sum, group, flatten).
  • Wrap JSON.parse in try/catch; surface friendly error messages.
  • Log intermediate results when debugging (lengths, keys, types).
  • When modeling, pick stable, unique IDs and avoid redundant fields.

Ready to build real confidence in JSON? Pick a set below and start solving!

FAQs

Q1. Do I need a database?

No. You can complete everything in the browser or Node; APIs use public endpoints or mock data.

Q2. How do I verify correctness?

Validate with a linter, print types/lengths, and for transforms compare before/after objects. Use totals and counts to sanity-check.

Q3. Are there solutions?

Selected topics include reference implementations—review only after you attempt the tasks (see advanced modeling and transform tracks).

Q4. JavaScript only?

Examples use JS, but the JSON skills transfer to any language that parses/serializes JSON.

Q5. How much time should I spend?

Plan 10–30 minutes per difficulty band per topic; API + storage and transform tracks may take longer.