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CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 11 (2026–27)

CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 11 (2026–27)

Original price was: ₹ 50.00.Current price is: ₹ 29.00.

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Accelerate your final revision and sharpen your technical accuracy with Set 11 of the CBSE Class 10 Artificial Intelligence Sample Paper series by Artham Resources. Fully mapped to the latest CBSE skill-education guidelines, rationalized syllabus, and official assessment blueprint for the 2026–27 academic year, this practice set delivers targeted, high-yield practice to test deep conceptual understanding and problem-solving speed.

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

Subject Code: 417 | Set 11 | Complete Board Exam Package

Consolidate high-order AI classification metrics, natural language text normalization pipelines, computer vision feature representation, and ethical machine learning governance 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 11 sharpens analytical skills in calculating complex confusion matrix indicators, evaluating false positive vs. false negative criticality in real-world deployments, resolving Python data structure challenges, and addressing algorithm transparency.

Key Product Highlights

  • Full-Length Model Paper (Set 11): 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).

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