Page 172 - AI Ver 1.0 Class 10
P. 172

Previous Years’ Questions


                1.  Assertion (A): The training data should be authentic and relevant to the problem statement scoped.    [2022]

                   Reason (R): It increases the AI Project efficiency.

                   a.  Both Assertion (A) and Reason (R) are correct and Reason (R) is the correct explanation of Assertion (A).
                   b.   Both Assertion (A) and Reason (R) are correct, but Reason (R) is not the correct explanation of Assertion (A).

                   c.  Assertion (A) is correct, but Reason (R) is not correct.

                   d.  Assertion (A) is not correct, but Reason (R) is correct.
                2.   ................................ involves collecting data from various authentic sources such as reliable websites,
                   observations, surveys.                                                                        [2022]

                   a.  Data Acquisition                          b.  Data Evaluation
                   c.  Data Testing                              d.  Data Modelling

                3.   Accuracy, Recall, Precision, F1 Score are the parameters to calculate the efficiency under ................................ .    [2022]

                   a.  Data Acquisition                          b.  Data Evaluation
                   c.  Data Testing                              d.  Data Modelling

                4.  Drawback/s of Rule-based approach is/are:                                                    [2022]
                   i.  The learning is static.

                   ii.  Any changes made to the original data will not be considered.

                   iii. Once trained the model cannot improvise on the basis of feedback.
                   a.  All of the above statements are correct.      b.  Statements i and ii are correct.

                   c.  Statements ii and iii are correct.        d.  Statements i and iii are correct.

                5.  In ................................ design is adaptive to change in data, which results in dynamicity of a model.    [2022]
                   a.  Learning-based Approach                   b.  Rule-based Approach

                   c.  Data Acquisition                          d.  Data Modelling

                6.   ................................ are modelled on human brain, it is essentially a machine learning algorithm, useful for solving problems
                   when the dataset is large.                                                                    [2022]

                   a.  Computer Vision                           b.  Data Science

                   c.  Natural Language Processing               d.  Neural Network
                7.   ................................ is not a Learning-based Approach where AI model gets trained on the data fed to it and then is able to
                   design a model which is adaptive to the change in data.                                       [2022]

                   a.  Supervised Learning                       b.  Unsupervised Learning
                   c.  Reinforcement Learning                    d.  Enforcement Learning









                        170   Touchpad Artificial Intelligence-X
   167   168   169   170   171   172   173   174   175   176   177