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Assertion and Reasoning Questions:
                           Direction: Questions 2-3, 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 true and R is the correct explanation of A.
                          b. Both A and R are true but R is not the correct explanation of A.
                          c. A is true but R is false.
                          d. A is false but R is true.
                     2.   Assertion: Data preprocessing is essential in machine learning to optimise datasets for effective model training.
                          Reasoning:  This  phase involves  cleaning, transforming, and normalizing  data,  ensuring that machine learning
                                    algorithms can interpret and learn from the data effectively.

                     3.     Assertion:  Data visualisation using Python’s Matplotlib library simplifies the process through its ‘pyplot’ submodule,
                                   offering a user-friendly interface akin to MATLAB.

                          Reasoning:  Matplotlib’s  pyplot submodule  includes  convenient functions that streamline  the creation of basic
                                    plots, enhancing the visual representation and interpretation of data.
                    Ans.  2. a          3. a





                                                       Unsolved Questions


                                                  SECTION A (Objective Type Questions)
                           uiz
                 A.   Tick ( ) the correct option.

                     1.   What does AI involve transforming raw data into?
                          a.  Useless information                        b.  Actionable information
                          c.  Simple statistics                          d.  Complex equations
                     2.   What skills does data literacy include?
                          a.  Ignoring data                              b.  Proficiently finding and using data

                          c.  Only collecting data                       d.  Discarding data
                     3.   Which of the following type of data is used in learning phase of an AI model?
                          a.  Testing data                               b.  Training data
                          c.  Both a and b                               d.  None of these

                     4.   Which data collection method is used to determine cause-and-effect relationships by manipulating factors to see
                          how they affect outcomes?
                          a.  Interview                                  b.  Survey
                          c.  Experiment                                 d.  Observation

                     5.   In which level of measurement can the distance between attributes be measured, but there is no true zero point?
                          a.  Nominal                                    b.  Ordinal
                          c.  Interval                                   d.  Ratio

                     6.   Which level of measurement involves ordering categories, but the intervals between them are not equal?
                          a.  Nominal                                    b.  Ordinal
                          c.  Interval                                   d.  Ratio



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