When building your model you need to make sure you're not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective.
At what phase of CPMAI is this most appropriate to do this?

• A.Phase I
• B.Phase VI
• C.Phase III
• D.Phase V
• E.Phase IV
• F.Phase II

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You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results. What's your best course of action?

• A.Keep going as planned and the problem will eventually correct itself
• B.Try to get additional data - at least 5 training examples for each dimension in the representation
• C.Try to get additional information from project lead to see how many examples per dimension are needed
• D.Try to improve the quality of your data through more preparation

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A team is getting ready to begin working on a ML project. They need to build a data preparation pipeline and someone on the team suggests they reuse the same pipeline they created for their last project.
What's wrong with this suggestion?

• A.Pipelines are pattern and model need specific.
• B.Pipelines are model operationalization need specific.
• C.There is no issue. Pipelines can be reused as needed between projects.
• D.Pipelines are pattern needs specific so as long as it's the same pattern then you can reuse the pipeline.

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Senior management has tasked your group to analyze a data set to uncover insights into the dat

• A.What is the best approach to use to do this?
• B.Data Integration
• C.Data Governance
• D.Data preparation
• E.Data Mining or Data Analytics

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In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

• A.Provide a means to have a different team on the project
• B.Provide a means to have contestability of the algorithm selected
• C.Provide a means to reverse-engineer the algorithm to inspect its performance
• D.Provide a means to interpret AI results so that cause and effect can be represented.

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