CBSE 12  Sample Question Papers Class 12 Computer Science For 2026 Board Exam (As Per Latest SQP Dated 30 July 2025) | 2024, 2025 Solved Paper, Mind Maps, Stepwise Marking

CBSE 12 Sample Question Papers Class 12 Comput...

₹ 255 ₹ 299 (14% OFF)
₹ 255 ₹ 299 (14% OFF)
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CBSE 12  Sample Question Papers Class 12 Computer Science For 2026 Board Exam (As Per Latest SQP Dated 30 July 2025) | 2024, 2025 Solved Paper, Mind Maps, Stepwise Marking

CBSE 12 Sample Question Papers Class 12 Computer Science For 2026 Board Exam (As Per Latest SQP Dated 30 July 2025) | 2024, 2025 Solved Paper, Mind Maps, Stepwise Marking

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Product Details
Product Details
Publication: Physics Wallah Publication Year: 2025 No of Books: 1 Language: English ISBN: 9789371536257
Book Description
Book Description

Master the 2026 Class 12 Computer Science Exam with 11 Top-Notch Sample Papers!


Prepare with confidence for the 2026 CBSE Class 12 Computer Science exams with the ‘PW CBSE 11 Sample Question Papers Class 12 Computer Science For 2026 Board Exam’. Specifically designed to give you a clear understanding of the exam pattern and marking scheme, this book is your ideal resource for practicing Computer Science.
Why This Book is the Smart Choice for Board Exam P

  • CBSE Past 4 Years’ Paper Trend Analysis: Shows recurring question patterns and chapter-wise weightage.

  • Cheat Sheets: Quick summaries for faster concept mastery.

  • CBSE PYQs 2025: Practice with real questions from the 2025 board exam.

  • CBSE SQP 2025-26 with Marking Scheme: Latest sample papers with official CBSE marking scheme.

  • 4 Sample Papers with Explanations: 4 CBT-based papers with detailed solutions.

  • 4 Handwritten Papers via QR Code: Access 4 handwritten sample papers through QR codes for detailed explanations.

  • Level-wise Difficulty (Easy, Medium, Hard): Papers categorized by difficulty for progressive learning.

  • Step-wise Marking Scheme: Clear marking guide to help you understand how answers are graded.

  • Self-Assessment Tools: Monitor your progress and identify improvement areas with built-in tools.

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