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Project Scoping:
                        •   he first fundamental step  hen starting an AI initiative is scoping and selecting the relevant use case(s)
                         that the AI model will be built to address.
                        •  Firstly, this stage involves the planning and motivational aspects of your project.
                        •  There's a great phrase that characterises this project stage: garbage in, garbage out.
                        •  This means if the data you collect is not good, you won't be able to build an effective AI algorithm, and
                         your whole project will collapse.
                        •  In this phase, it's crucial to precisely define the strategic business ob ectives and desired outcomes of the
                         project, select align all the different stakeholders' expectations, anticipate the key resources and steps,
                         and define the success metrics.
                10.  The following are the five stages of an AI project cycle:                                 [2022]
                     (i)  Evaluation, Testing, Problem Scoping, Data Acquisition, Data Exploration
                     (ii)  Data Exploration, Modelling, Data Acquisition, Problem Scoping, Testing
                     (iii) Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation
                     (iv) Problem Scoping, Deployment, Logic Building, Testing, Maintenance

                     Choose the correct option:
                     a.  (i), (ii) and (iii)                         b.  (i), (ii) and (iv)

                     c.  (i) and (iii)                               d.  (ii) and (iii)
               Ans.   a.   (i), (ii) and (iii)
                11.  Which of the following is the last stage of an Al Model lifecycle?                        [2022]
                     a.  Project scoping                             b.   Production
                     c.  Design                                      d.   Deployment in production
               Ans.   d.   Deployment in production
               12.   Which of the following do not fall under problem scoping?                                 [2022]
                     a.  Desire outcome of the project               b.  Anticipate key resources and steps
                     c.  Data acquisition                            d.  Define the success metrics

               Ans.   c.   Data acquisition
               13.   Which of the following is not a development tool in building an Al model?                 [2022]
                     a.  TensorFlow                                  b.  Azure ML Studio
                     c.  Anaconda                                    d.  Sagemaker
               Ans.   a.   TensorFlow
               14.   During               phase, you need to evaluate the various Al development platforms.    [2022]
                     a.  Analysis                                    b.  Design

                     c.  Productivity                                d.  Implementing
               Ans.   b.   Design
               15.   Which of the following open-source languages is best-suited for building an Al model?     [2022]
                     a.  C++                                         b.  Visual Basic
                     c.  Python                                      d.  Java
               Ans.   c.   Python
               16.   The following are the objectives of the testing team in Al modelling:                     [2022]
                     (i)  Model Validation                   (ii)   Successful Learnability
                     (iii) Accurate Results                  (iv)  Algorithm Effectiveness

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