Knowledge Check

The following questions will help you check what you've learned.

1. Question 1 of 5. Select two.A developer is considering the pros and cons of developing an AI system with a transparent and explainable model compared to using a black box model. What are the benefits that might convince the developer to use a transparent and explainable model? (Select TWO.)

   AThey are cheaper to develop and maintain.BThey are easier to debug and optimize for improvements.CThey are less complex to develop.DThey are opaque and keep model information secure.EThey can help to build trust.
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2. Question 2 of 5A developer is in the planning stage of a healthcare AI system. The system needs to be developed with a model that offers transparency and explainability. Which AWS solution should the developer consider to make the AWS service explainable?

   AAWS AI Service CardsBAWS HealthScribeCAmazon SageMaker AutopilotDAmazon SageMaker Data Wrangler
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3. Question 3 of 5A developer is planning on building and training a model for a loan application AI system. To satisfy the need for transparency, the developer needs to catalog details such as the intended use and risk rating of the model, training details and metrics, and custom information. Which AWS solution should the developer consider to make the AWS service to provide transparency for this model?

   AAWS AI Service CardsBAmazon SageMaker AI ClarifyCAmazon SageMaker Role ManagerDAmazon SageMaker Model Cards
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4. Question 4 of 5A developer is building an AI application. A specific requirement is that the model must be interpretable. Which statement best describes interpretability in a model?

   AA model that you can influence the predictions and behavior by changing aspects of the training dataBA model that avoids causing harm in its interactions with the worldCA model that provides transparency into a system so a human can explain the model’s output based on the weights and featuresDA model that uses model agnostic methods to explain the behavior of the model in human terms
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5. Question 5 of 5An organization is concerned about decision-makers making errors in high-stakes situations because of stressful or high-pressure environments. They want to design their AI system to help mitigate errors in these situations with technology. Which design principle should the organization implement to help mitigate potential errors because of stressful or high-pressure environments?

   ADesign for environmental decision-makingBDesign for amplified decision-makingCDesign for unbiased decision-makingDDesign for human and AI learning
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