ISC Class 12 Artificial Intelligence Specimen Paper 2026-27: Download PDF for CISCE Board Exam

Download the official ISC Class 12 Artificial Intelligence Specimen Paper 2026-27 PDF released by CISCE. Strengthen your exam preparation with Artificial Intelligence sample papers and understand the latest ISC exam pattern, marking scheme, and key topics for the 2027 board exams.

Sep 25, 2026, 16:44 IST
ISC Class 12 Artificial Intelligence Specimen Paper 2026-27: Download PDF for CISCE Board Exam
ISC Class 12 Artificial Intelligence Specimen Paper 2026-27: Download PDF for CISCE Board Exam

ISC Class 12th Artificial Intelligence Specimen Paper 2026-27: The board has made available sample papers on the official website for Class 12th. Artificial Intelligence requires strong concepts and basic understanding of formula and numerical problems, and the ISC Artificial Intelligence Specimen Paper 2027 plays an important role in helping students prepare effectively for the exam 

The board releases these specimen papers every year for students to familiarise them with the latest exam pattern, marking scheme, and types of questions asked in the final 2027 board exam. By solving the official sample paper, students will strengthen their problem-solving skills, improve speed, and build up their overall confidence. In this article, students can download the ISC Artificial Intelligence Specimen Paper 2027 PDF and check key highlights and benefits.

ISC Class 12 Artificial Intelligence Specimen Paper 2027: Key Highlights

Students appearing for the ISC Class 12 Artificial Intelligence Exam 2027. Check the table below for more details about the exam pattern and important information.

Category
Details
Conducting Body
Council for the Indian School Certificate Examinations (CISCE)
Exam Name
ISC Class 12 Artificial Intelligence
Academic Session
2026–27
Exam Date
To be announced 
Paper Type
Theory
Total Marks
70 Marks (Internal Assessment: 30 Marks)
Exam Duration 
3 Hours
Official Website
cisce.org

ISC Class 12 Artificial Intelligence Specimen Paper 2027

SECTION A – 16 MARKS
Question 1
(i) Which of the following is an example of sentiment analysis? (Understand) [1]
(a) Translating reviews from Hindi to English
(b) Grouping similar reviews into clusters without labels
(c) Extracting names of products and brands from reviews
(d) Detecting whether a review is positive, negative, or neutral
(ii) Choose the statements that justify the preference for HSV / HSL colour model over RGB for colour detection.
(P) Lightness and value are not considered.
(Q) Saturation is separated from brightness.
(R) Hue is separated from brightness.
(a) Only (P) and (Q)
(b) Only (Q) and (R)
(c) Only (P) and (R)
(d) (P), (Q) and (R)
(iii) The learning paradigm which involves an AI system, learning to maximise long-term rewards through a sequence of decisions is:
(a) Deep learning
(b) Supervised learning
(c) Unsupervised learning
(d) Reinforcement learning
(iv) Given below are two statements marked Assertion and Reason. Read the statements carefully and choose the correct option.
Assertion: The ReLU activation function is preferred to sigmoid in the hidden layers of a deep neural network.
Reason: For large positive or negative inputs, the sigmoid function produces near zero derivatives, causing weight updates in early layers to become negligibly small, a problem known as the vanishing gradient.
(a) Both Assertion and Reason are true, and Reason is the correct explanation for the Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation for the Assertion.
(c) Assertion is true and Reason is false.
(d) Both Assertion and Reason are false.
(v) A face-recognition system at an airport achieves 99% overall accuracy but only 70% accuracy for passengers with different skin tones. Which one of the following is MOST likely the cause for this bias?
(a) Insufficient computing power at the airport
(b) Faulty algorithm that cannot model non-linear facial features
(c) Under-represented training data, embedding demographic bias
(d) Overfitting to the training data across all demographic groups
(vi) Given below are two statements marked Assertion and Reason. Read the statements carefully and choose the correct option.
Assertion: Medical diagnosis systems based on Machine Learning can improve the efficiency of healthcare services.
Reason: Genetic information is one of the sources of data that can be analysed by Machine Learning models.
(a) Both Assertion and Reason are true, and Reason is the correct explanation for the Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation for the Assertion.
(c) Assertion is true and Reason is false.
(d) Both Assertion and Reason are false.
(vii) Which of the following Neural Network (NN) architectures is suited for image classification tasks?
(viii) A neural network used for recognising handwritten digits contains an input layer, one or more hidden layers and an output layer. The hidden layers transform the input information before the final prediction is made. What is the primary role of the hidden layers in such a neural network?
(a) To display the final predicted class
(b) To divide the dataset into training and testing sets
(c) To store the original input data without modification
(d) To learn and transform intermediate features from the input data
(ix) A bank uses a Machine Learning system to identify unusual transaction patterns that may indicate identity theft. Which practical implication of Machine Learning is evident here?
(a) Fraud Detection
(b) Medical Diagnosis
(c) Workflow automation
(d) Predictive Maintenance
(x) The Computer Vision technique that can be used to count the number of people in a photograph is:
(a) Object tracking
(b) Object detection
(c) Facial recognition
(d) Image classification
(xi) Name the Deep Learning model commonly used for image classification.
(xii) A machine learning model incorrectly classifies a genuine credit card transaction as fraudulent. Name the type of prediction made by the model.
(xiii) What is the purpose of the fit() function while training an Artificial Neural Network in Keras?
(xiv) A hospital uses Machine Learning to analyse patient records for disease prediction. Why should the model be updated periodically with new patient data?
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To download complete Question Paper PDF along with marking scheme for ICSE Class 10 physics Specimen Paper 2027 for board exams. Students can tap on the link below and get the PDF for free to download and start their preparation in advance to score good grades in 2027 board exams. 

DOWNLOAD: ICSE Class 12 Artificial Intelligence Specimen Paper 2027 PDF

How to Download ISC 12 Artificial Intelligence Specimen Paper 2027

Students can click on the given link below to download the ICSE Maths Specimen Paper 2026:

  • Visit to the official CISCE website at cisce.org.
  • On the homepage, click “Examinations” or “Publications / Specimen Papers”.
  • Look for “Specimen Papers 2027” or the “Class XII” section.
  • Find “Mathematics Class 12 (Specimen Paper)” in the list.
  • Click the paper title or the PDF download icon.
  • The specimen paper will open in a new tab, click the download link and save it.
  • Open the saved PDF to check formatting and print if needed.

Also Check: ISC Class 12 Maths Specimen Paper 2026-27: Download PDF

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