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added se pyq aiml 4th sem - #73

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nitinmohan18 merged 1 commit into
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pyq-se
Jul 7, 2026
Merged

nitinmohan18 merged 1 commit into
mainfrom
pyq-se

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@nitinmohan18

@nitinmohan18 nitinmohan18 commented Jul 7, 2026

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Pull Request

Summary

This PR introduces the latest Previous Year Questions (PYQs) for AL-403 (Software Engineering) and ensures they are properly formatted and sorted according to our global descending chronological order standard.


Related Issue

Closes #


Type of Change

  • Feature
  • Bug Fix
  • Documentation
  • Refactor
  • Performance Improvement
  • CI / Build
  • Other

What Changed?

  • Extracted and added 6 new PYQ papers for AL-403 (AIML 4th Sem):
    • June 2025
    • December 2024
    • June 2024
    • November 2023
    • June 2023
    • June 2022
  • Maintained the global sorting standard by ensuring these papers are strictly ordered in descending chronological order (newest on top).

Screenshots (UI Changes Only)

N/A - Data changes only.


Testing

  • Verified that content/rgpv/aiml/semester-4/al-403/pyqs.json contains all 6 new papers correctly structured with no syntax errors.
  • Confirmed the array is correctly sorted descending by year and month.

Checklist

Before requesting a review, confirm the following:

  • My branch is up to date with the latest main.
  • My code follows the project's coding standards.
  • I have formatted the modified files (npx prettier --write <file>).
  • npm run format:check passes.
  • npm run lint passes.
  • npm run typecheck passes.
  • npm run build passes.
  • I have updated documentation if required.
  • I have tested my changes locally.
  • This Pull Request focuses on a single feature or fix.

Additional Notes

Just a straightforward data addition PR! Remember to run your format/lint checks before merging.

Summary by CodeRabbit

  • New Features
    • Added a full set of AL-403 previous year exam papers, including multiple exam sessions from 2022–2025.
    • Each paper now includes structured questions and sub-questions for easier browsing and study reference.

@vercel

vercel Bot commented Jul 7, 2026

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Project Deployment Actions Updated (UTC)
hyper-learning-tech Ready Ready Preview, Comment Jul 7, 2026 8:03pm

@coderabbitai

coderabbitai Bot commented Jul 7, 2026

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Review Change Stack

Caution

Review failed

The pull request is closed.

ℹ️ Recent review info
⚙️ Run configuration

Configuration used: defaults

Review profile: CHILL

Plan: Pro

Run ID: 6941f155-69d0-448c-b56d-051e2da57d93

📥 Commits

Reviewing files that changed from the base of the PR and between a906a65 and 2c91e84.

📒 Files selected for processing (1)
  • content/rgpv/aiml/semester-4/al-403/pyqs.json

📝 Walkthrough

Walkthrough

Populates the previously empty papers array in the AL-403 pyqs.json file with structured exam question data for six sessions (June 2025 through June 2022), each including questions with nested labeled sub-questions and text content.

Changes

AL-403 Previous Year Questions Data

Layer / File(s) Summary
Recent exam entries
content/rgpv/aiml/semester-4/al-403/pyqs.json
Adds June 2025, December 2024, and June 2024 exam objects, each with eight questions and nested sub-questions containing labels and text.
Older exam entries
content/rgpv/aiml/semester-4/al-403/pyqs.json
Adds November 2023, June 2023, and June 2022 exam objects with eight questions and nested sub-questions, completing the JSON structure.

Estimated code review effort: 2 (Simple) | ~10 minutes

Suggested reviewers: imuniqueshiv

✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch pyq-se

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@nitinmohan18
nitinmohan18 merged commit 64b5406 into main Jul 7, 2026
4 checks passed
@nitinmohan18
nitinmohan18 deleted the pyq-se branch July 7, 2026 20:04
@github-actions

github-actions Bot commented Jul 7, 2026

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🎉 Congratulations @nitinmohan18!

Thank you for contributing to HyperLearningTech.

Your pull request has been successfully merged into main.

📦 Merge Summary

🚀 Keep Contributing

  • Follow the CONTRIBUTING.md guidelines.
  • Keep each Pull Request focused on a single feature or fix.
  • Run formatting, linting, type checking, and a production build before opening a PR.

Thank you for helping make HyperLearningTech better.

Happy Coding! 🚀

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