Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

• A.Research what Third-Party Models are available and purchase them to keep the project moving
• B.Do not move forward with the project
• C.Ask your customer service team to generate additional data for you to use for the project
• D.Use the data that you have and keep the project moving

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You're testing your model and it is overly sensitive to the fluctuations of data and having trouble generalizing.
What type of problem is this?

• A.You are underfitting the data
• B.You are overfitting the data
• C.You have selected the wrong algorithm
• D.You have selected the wrong data

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Your team is running a simulation-based optimization exercise to increase routing efficiency. Learning for this exercise is done through "trial and error." Which type of machine learning approach is being leveraged for this exercise?

• A.Reinforcement Learning
• B.Supervised Learning
• C.Reinforcement Learning is defined in CPMAI as the paradigm where agents learn optimal actions via interactions labeled by reward/punishment signals-essentially a "trial and error" process. Domain III of the CPMAI Exam Content Outline covers "Design reinforcement learning approaches with appropriate agents and environments," confirming that simulation-based, trial-and-error optimization is the hallmark of Reinforcement Learning .
• D.All would work equally well
• E.Unsupervised Learning

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Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device," specifically a mobile phone, and the user may sometimes be in remote locations without regular access to the internet.
What's the most important thing to consider here?

• A.Make sure that you can use Generative AI solutions on an edge device
• B.Make sure the model lives in a hybrid environment
• C.Make sure the model is available over a cloud-based API
• D.Make sure the model lives on the edge device so it can be used regardless of internet connection

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Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project.
What is the best course of action to take with this data?

• A.Data selection and attribute pruning to reduce overall size and data complexity.
• B.Data Deduping to reduce overall size and data complexity.
• C.Data integration focused on reducing the number of data sources.
• D.Careful algorithm selection that reduces the need for data.

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