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

Subject Code: 417 | Set 3 | Complete Board Exam Package

Consolidate Natural Language Processing (NLP) linguistic processing, Computer Vision image segmentation frameworks, Python NumPy and package execution, and data-driven problem formulation 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 3 advances capabilities in computing Term Frequency-Inverse Document Frequency (TF-IDF), interpreting false positive vs. false negative implications in confusion matrices, evaluating data bias impacts, and implementing robust Python algorithmic logic.

Key Product Highlights

• Full-Length Model Paper (Set 3): 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 formula steps (Confusion Matrix, Precision, Recall, Accuracy, F1 Score), step-by-step Python code outputs, and structured conceptual evaluation rubrics.

• 50%+ Competency & Inference Focus: Emphasizes scenario-based AI project cycle modeling, 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).