CUET-UG 2026: Computer Science - 15 Practice Paper Sets & PYQs | Includes 5 Mock Tests & 10 Solved Papers | By Career Launcher | NTA CUET-UG Computer Science Exam Prep

Elevate your technical preparation with the CUET-UG 2026: Computer Science - 15 Practice Paper Sets & PYQs by Career Launcher. This specialized manual is meticulously crafted for students aiming to master the Section II (Domain Subject) of the NTA CUET-UG exam. As Computer Science is a high-scoring but logic-intensive domain, this book provides the exact tools needed to navigate the exam's unique structure, covering both the compulsory Section A and the specialized Sections B1 (Computer Science) and B2 (Informatics Practices).

With a powerful collection of 10 fully solved papers (2023–2025) and 5 high-fidelity mock tests, this guide allows you to simulate the actual computer-based testing environment. Every practice set is designed to sharpen your logic in Python programming, SQL queries, and data structures. The step-by-step solutions don't just provide answers; they break down the code logic and theoretical concepts, making it an ideal companion for both thorough study and rapid last-minute revision.

Key Features:

• 15 High-Performance Sets: Includes 10 authentic previous years' solved papers and 5 expertly designed mock tests tailored to the 2026 NTA pattern.

• Latest Exam Intelligence: Features the fully solved 2025 CUET-UG Computer Science paper, ensuring you are prepared for the most recent shifts in question trends and difficulty.

• Mastering the NTA Format: Comprehensive practice for Section A (Compulsory), Section B1 (Computer Science), and Section B2 (Informatics Practices).

• Deep Conceptual Solutions: Detailed explanations for all questions, including dry runs of algorithms, SQL query breakdowns, and Python exception handling logic.

• Time Management Focus: The 5 mock tests are calibrated to the 60-minute exam window, helping you optimize your speed to attempt 40 out of 50 questions with maximum accuracy.

• Syllabus-Aligned Practice:

  • Python Mastery: File handling, exception handling, and data structures (Stacks & Queues).

  • Database Management: SQL functions (Math, Text, Date), Joins, and Relational Algebra.

  • Networking & Security: Topologies, protocols (HTTP, FTP, IP), and cyber threats.

  • Informatics Specialization: Data handling using Pandas and Matplotlib visualization.