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2.   Which AI technique learns by making decisions and receiving feedback in the form of rewards or
                         penalties?
                         a.  Supervised learning                             b.  Reinforced learning

                         c.  Unsupervised learning                           d.  Rule-based AI

                      3.  The deployment of an AI model happens after which stage?
                         a.  Evaluation                                      b.  Modelling

                         c.  Data exploration                                d. Problem scoping
                      4.  What is the first step in the AI project cycle?

                         a.  Data Acquisition                                b.  Problem Scoping

                         c.  Modelling                                       d.  Evaluation
                      5.  Which of the following data types is NOT usually collected during Data Acquisition?

                         a.  Textual Data                                    b.  Numerical Data
                         c.  Visual Data                                     d.  Hypothetical Data

                      6.  What is a major disadvantage of primary data?
                         a.  It is often inaccurate.

                         b.  It is expensive and time-consuming to collect.

                         c.  It cannot be controlled.
                         d.  It is outdated.

                      7.  Which data visualisation tool is NOT mentioned in the chapter?

                         a.  Microsoft Excel                                 b.  Tableau Public
                         c.  Microsoft Power BI                              d.  MATLAB

                      8.  Which AI technique uses predefined rules and facts to generate output?
                         a.  Learning-based AI                               b.  Rule-based AI

                         c.  Reinforced Learning                             d.  Supervised Learning


                                                          Exercise




                  A.  State whether these statements are true or false.
                      1.  In data acquisition, the model is tested to check its performance.                  ……….……

                      2.   Secondary data is data that has already been collected, processed, and published
                         by other individuals.                                                                ……….……

                      3.  Different problems require different types of data.                                 ……….……
                      4.  Data exploration is the foundation of a successful AI project.                      ……….……





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