CBSE Class 10 Artificial Intelligence Sample Paper with Blueprint & Solutions (2026–27)
Subject Code: 417 | Set 6 | Complete Board Exam Package
Consolidate advanced computer vision convolutions, Natural Language Processing (NLP) tokenization workflows, machine learning classification metrics, and sustainable AI deployment principles 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 6 builds proficiency in evaluating confusion matrix trade-offs, calculating TF-IDF vector tables, debugging Python algorithmic logic, and analyzing real-world ethical bias scenarios.
Key Product Highlights
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Full-Length Model Paper (Set 6): 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.
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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.
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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.
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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).


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