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    4.  What is the first step in the AI project cycle?

                                                                                                                                                                (i)  Data Acquisition                     (ii)  Problem Scoping
                         «   AI project cycle offers a structured roadmap for creating effective AI solutions.
                                                                                                                                                              (iii)  Modelling                           (iv)  Evaluation
                         «   Problem  scoping  involves identifying  a  real-world issue  that  can  be  addressed
                             using AI.                                                                                                              5.  Which data visualisation tool is NOT mentioned in the chapter?
                         «   The Problem Scoping phase includes identifying the problem, understanding the context, defining                                    (i)  Microsoft Excel                     (iv)  Tableau Public
                             goals and objectives, identifying stakeholders, setting project boundaries.

                         «   The 4Ws Problem Canvas is a helpful tool used to break down and understand the problem step                                      (iii)  Microsoft Power BI                  (iv)  MATLAB
                             by step.
                                                                                                                                                B.  Write ’T’ for true and ’F’ for false.
                         «   The problem statement template helps us to put together all the key points into a single template
                             for future reference.                                                                                                  1.   In data acquisition, the model is tested to check its performance.

                         «   Different problems require different types of data and each data type brings unique value and                          2.   Secondary data is data that has already been collected, processed and published
                             challenges.
                                                                                                                                                       by other individuals.
                         «   Data for any project, including AI projects, can be collected from two main sources: Primary and
                             Secondary sources.                                                                                                     3.  Different problems require different types of data.

                         «   AI modelling techniques can be broadly classified into two approaches, namely, rule-based and                          4.  Data exploration is the foundation of a successful AI project.
                             learning-based.
                                                                                                                                                    5.   Tableau Public is a free, widely used software that creates interactive data
                                                                                                                                                       visualisations and supports very large datasets.

                                                                                                                                                C.  Fill in the blanks using the given hints:
                                                                                                                                                                        data is original data collected directly from the source
                                                                Robo Check                                                                          1.  for the first time.                                                               Hints

                                                                                                                                                                                                                                        Modelling
                                                                                                                                                    2.                  refers to  sounds  recorded  through microphones  or
                      A.  Tick ( ) the correct option.                                                                                                                                                                                   Problem
                                                                                                                                                       other recording devices.                                                         statement
                          1.   When data is labelled, which learning technique is used?
                                                                                                                                                    3.    The               template helps us to put together all the key points      Data acquisition
                                      (i)  Supervised learning                  (ii)  Unsupervised learning                                                                                                                             Audio data
                                                                                                                                                       into a single template for future reference.
                                                                                                                                                                                                                                         Primary
                                    (iii)  Reinforced learning                (iv)  None of these                                                   4.  The fourth step in the AI project cycle is called              .

                          2.   Which AI technique learns  by making  decisions  and receiving  feedback  in the form of                             5.                  ensures the AI model has a reliable and representative
                             rewards or penalties?                                                                                                     dataset that reflects real-world conditions.

                                      (i)  Supervised learning                  (ii)  Reinforced learning
                                                                                                                                                COMPETENCY-BASED QUESTIONS
                                    (iii)  Unsupervised learning              (iv)  Rule-based AI
                                                                                                                                                1.  Ria trains an AI model using labelled emails to identify spam. Kabir’s program studies animal
                          3.  The deployment of an AI model happens after which stage?                                                              pictures without labels and groups them by similarity. Tara builds a game where a robot
                                                                                                                                                    learns by getting rewards or penalties. Which different AI techniques are used by Ria, Kabir
                                      (i)  Evaluation                           (ii)  Modelling
                                                                                                                                                    and Tara?
                                    (iii)  Data exploration                   (iv)  Problem scoping                                             2.  During a school project, Naman collects data on students’ study habits and exam scores.
                                                                                                                                                    He then uses an AI program to find patterns and predict how much study time might lead to
                                                                                                                                                    better results. Which Artificial Intelligence process is Naman using to train algorithms that can
                                                                                                                                                    learn from data and make decisions or predictions?

                                     AI RoboGenius - VIII
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