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C.  Competency-based/Application-based questions.                                21 st  Century   #Critical Thinking
                                                                                                   Skills  #Flexibility
                  1.  You are developing an AI system for financial risk assessment in a stock market context. Which application of neural
                    networks is most relevant to your project, allowing you to recognise hidden patterns and classify data effectively?
                    a. Sales and marketing trends        b. Fraud detection
                    c. Grayscale image processing        d. Input data conversion
                Ans.  b. Fraud detection

                  2.  Google Search by Image feature is used to find a similar image. How does Computer Vision process the uploaded
                    image to deliver results?
                Ans.  Computer Vision algorithms extract key features like shapes and patterns, compare them with a database, and provide
                    matching results.
                  3.  A self-driving car is navigating through a busy urban street, with pedestrians crossing and other vehicles moving in
                    various directions. How does Computer Vision help the car detect obstacles and make real-time decisions for a safe
                    journey?
                Ans.  Computer Vision utilises cameras and sensors to detect pedestrians, other vehicles, and traffic signals. It processes the
                    visual data in real-time to make quick decisions, like slowing down or steering to avoid collisions, ensuring safety.
                 Assertion and Reasoning Questions:
                   Direction: Questions 4-5, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions by selecting
                 the appropriate option given below:
                 a.  Both A and R are correct and R is the correct explanation of A.
                 b.  Both A and R are correct but R is NOT the correct explanation of A.

                 c.  A is correct but R is incorrect.
                 d.  A is incorrect but R is correct.
                   4.  Assertion (A): Computer Vision can detect obstacles in a self-driving car's path.
                    Reasoning (R): Computer Vision uses cameras and sensors to identify pedestrians, other vehicles, and road signs.
                Ans.  a.
                   5.  Assertion (A): Retailers use Computer Vision to analyse foot traffic in stores.
                    Reasoning (R): The system tracks customer movements to understand their interactions with different areas of the
                    store and optimise product placement.
                Ans.  b.

                                                     Unsolved Questions

                                               SECTION A (Objective Type Questions)
                    uiz

              A.  Tick ( ) the correct option.
                  1.  Which of the following tasks is typically associated with Computer Vision applications?
                    a.  Data cleaning and preparation                  b.  Image classification and object recognition

                    c.  Web development and frontend design            d.  Database management and querying
                  2.  What is the core task of image classification?                                    [CBSE Handbook]

                    a.  Identifying objects and their locations in images
                    b.  Segmenting objects into individual pixels



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