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CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 15 (2026–27)

CBSE Sample Papers with Blueprint & Solutions Class 10 Artificial Intelligence Set 15 (2026–27)

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

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Conclude your board preparation with the ultimate mock test: Set 15 of the CBSE Class 10 Artificial Intelligence Sample Paper series by Artham Resources. As the final full-length practice paper in the 15-set series, it is meticulously designed per the latest CBSE skill-education guidelines, rationalized syllabus, and official assessment blueprint for the 2026–27 academic session, delivering comprehensive evaluation for complete exam readiness.

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

Subject Code: 417 | Set 15 | Complete Board Exam Package

Consolidate the full spectrum of artificial intelligence concepts, end-to-end model evaluation frameworks, advanced computer vision architectures, and natural language understanding 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 15 serves as a capstone assessment tool, sharpening mastery in resolving multi-class confusion matrices, optimizing Python algorithmic structures, troubleshooting text vectorization pipelines, and navigating real-world AI ethics and governance dilemmas.

Key Product Highlights

  • Full-Length Model Paper (Set 15): 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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