Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, your team doesn't have access to all the data it needs. What's the best course of action?

• A.Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.
• B.Cautiously move forward knowing you may need to pause mid-project which is ok.
• C.Move ahead as planned so you stay on time with your project.
• D.Do not move forward until you have access to all the data you need.

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During the evaluation of an AI solution, the project team notices an unexpected decline in model performance. The model was previously achieving high accuracy but has recently shown increased error rates. Which action will identify the cause of the performance decline?

• A.Checking for issues in the data preprocessing pipeline that may have introduced noise
• B.Increasing the amount of regularization to prevent overfitting
• C.Reviewing recent changes made to the model's architecture and parameters
• D.Analyzing the distribution of real world data for potential shifts

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During CPMAI Phase II of your project, your team is going through their data collection needs.
One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

• A.Evaluate your data and use only what you have and build all models in house.
• B.Evaluate your data and see if using pre-trained models make sense. If so, have the team see what pre-trained models your company already owns and use those
• C.Evaluate your data and see if using pre-trained models make sense. If so, have the team do research to find the ones that best suit your project.
• D.Have one team build all models in-house and the other team use pre-trained models and see which team's models perform better.

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A company plans to operationalize an AI solution. The project manager needs to ensure model performance is meeting selected thresholds before release. What is an effective way to confirm these thresholds before this release?

• A.Running multiple end-user acceptance tests
• B.Conducting a series of penetration tests
• C.Implementing an impact evaluation
• D.Testing against validation datasets

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A project team is trying to determine the most suitable environment to operationalize their AI/machine learning (ML) solution. They need to consider various factors to help ensure a successful implementation. What should the project manager do?

• A.Analyze the solution's compliance requirements.
• B.Consider the cost of implementation.
• C.Evaluate the system's scalability options.
• D.Identify the end users and their interactions.

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