CBSE Class 10 Artificial Intelligence Sample Paper with Blueprint & Solutions (2026–27)

Subject Code: 417 | Set 7 | Complete Board Exam Package

Consolidate high-order AI project evaluation parameters, advanced Python data structures, Natural Language Processing (NLP) text normalization algorithms, and computer vision feature extraction for the CBSE Class 10 Artificial Intelligence Board Examination (2026–27) with this full-length model question paper package. Formatted strictly in accordance with CBSE Subject Code 417 and the latest competency-based assessment guidelines, Set 7 targets mastery in interpreting confusion matrices, calculating precision and recall trade-offs, handling dataset bias scenarios, and deploying sustainable AI solutions.

Key Product Highlights

• Full-Length Model Paper (Set 7): Conforms strictly to the official 2-part layout (Part A: Employability Skills and Part B: Subject Specific Skills) comprising Objective Type Questions and Short/Long Descriptive Answers for Class 10 Artificial Intelligence.

• 100% Stepwise Marking Scheme Solutions: Explicit point-by-point solutions providing exact mathematical derivations (Confusion Matrix calculations, Precision vs. Recall trade-offs, F1 Score formulas), Python code line-by-line outputs, and structured marking rubrics.

• 50%+ Competency & Inference Focus: Emphasizes scenario-based AI project cycle problem scoping, real-world Natural Language Processing pipeline challenges, Computer Vision pixel analysis, and ethical algorithm governance.

• Rationalized Syllabus Compliant: Strictly covers both prescribed divisions—Part A: Employability Skills (Communication, Self-Management, ICT, Entrepreneurial, and Green Skills) and Part B: Subject Specific Skills (Introduction to AI, AI Project Cycle, Advance Python, Data Science, Computer Vision, Natural Language Processing, and Model Evaluation).