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4.   Choose the Correct Option.                                              [CBSE Sample Paper, 2022]
                  a.  Scope >> Acquire >> Explore >> Prepare>> Model>> Assess >>Deploy>> Batch
                  b.   Scope >> Acquire >> Explore >> Prepare>> Model>> Deploy>>Real Time>> Batch
                  c.  Scope >> Acquire >> Prepare >> Assess >>Deploy>> Batch>>Real Time>> Explore
                  d.   Scope >> Acquire >> Explore >> Model >> Prepare>>Assess >>Deploy>> Batch

             5.   In AI development, which framework is used?                             [CBSE Sample Paper, 2022]
                  a.  Scikit-learn                               b.   Tkinter
                  c.  PyCharm                                    d.   Matplotlib

        B.   Fill in the blanks.
             1.                 is the process through which several models based on graphical data can be constructed and even
                 tested for advantages and disadvantages.
             2.   We can use the             to assist us in identifying the important factors associated with the problem.

             3.   Two sources of authentic data are          and               .
             4.   All relevant subsets of training data should be included in the    .

             5.   The               block in 4W Problem Canvas refers to the stakeholders.

        C    State  hether the  ollo ing statements are true or  alse
             1.   The model is evaluated using Testing Data and the model's efficiency is assessed.

             2.   During the data exploration stage, you must assess the various AI development platforms.

             3.   Data Acquisition stage is also called ‘Exploratory Data Analysis’.
             4.   The data collection and data exploration stages consume the most time.

             5.   If we need to create an AI project, the AI model cycle offers us a suitable structure that can
                 help guide us towards our aim.

                                          S CTI N B (Subjective Type Questions)
        A    Short ans er type  uestions
             1.   Describe the purpose of the following steps of the AI model cycle:

                  a.  Data Exploration
                  b.  Modelling
             2.   What do you understand by the term ‘Deployment’?

             3.   Why is evaluation of an AI model important? Explain.
             4.   What is Problem Scoping in AI model cycle? Explain with an example.

             5.   What is training data? When is testing of the model conducted?
             6.   Which metric will you use for model evaluation in balanced and imbalanced datasets?

             7.   Why is design phase an iterative process?
             8.   What helps narrow down the number of feasible solutions in the modelling phase?

             9.   Define AI model lifecycle.
        B    Long ans er type  uestions
             1.   Why should an AI model development team be knowledgeable and diverse?

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