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Unsolved Questions


                                                  SECTION A (Objective Type Questions)

                       uiz
                    Tick ( ) the correct option.
                    1.  What does data preparation involve in No-Code AI platforms?
                       a.  Writing complex algorithms                    b.  Cleaning, organising, and preprocessing data

                       c.  Ignoring missing values                       d.  Only collecting new data
                    2.  Teachable Machine supports which types of input data?

                       a.  Images only                                   b.  Audio only
                       c.  Images, Audio, and Poses                      d.  Text only
                    3.  Which of the following tasks cannot be performed using Orange?

                       a.  Clustering                                    b.  Regression
                       c.   Image editing                                d.  Classification
                    4.  No-Code AI tools typically use which of the following to train AI models?

                       a.   A command line interface                     b.  Predefined algorithms and templates
                       c.   Manual programming                           d.  Hardcoded AI models
                    5.  What does AutoML do during the training process?

                       a.   Manually selects the best algorithm
                       b.  Automatically selects the best algorithms and parameters
                       c.   Requires users to write code
                       d.  Skips the training step

                    6.  Orange can be used for which of the following data analysis techniques?
                       a.   Time-series analysis                         b.  Predictive modelling
                       c.   Image processing                             d.  All of these

                    7.  What is convolution used for in image processing?
                       a.   Applying filters and modifying pixel values

                       b.  Deleting images
                       c.   Storing images as text
                       d.  Making images black and white only
                    8.  What is the purpose of the Rectified Linear Unit (ReLU) function in CNN?

                       a.   To convert the input into a grayscale image
                       b.  To remove negative values from the feature map
                       c.   To reduce the image size

                       d.  To apply edge detection
                    9.  How does ReLU work mathematically?
                       a.   ReLU(x) = x^2                                b.  ReLU(x) = max(0, x)
                       c.   ReLU(x) = x - 1                              d.  ReLU(x) = 0 for all values

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