Knowledge Check

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

1. Question 1 of 6A machine learning (ML) scientist is building an ML model for loan applications at a bank by using Amazon SageMaker AI. They want to mitigate bias in the data and increase visibility into model behavior. Which AWS service or feature helps to meet these needs?

   AAmazon ComprehendBAmazon SageMaker JumpStartCAmazon Augmented AI (Amazon A2I)DAmazon SageMaker AI Clarify
   Check answer
2. Question 2 of 6A team is beginning to work with generative artificial intelligence (generative AI) and is concerned about implementing responsible AI. They want to use AWS AI tools and want to understand how to implement them responsibly. Which tool is available to help the team make those decisions?

   AResponsible Use of Machine Learning whitepaperBAWS MarketplaceCAWS AI Service CardsDAWS Machine Learning University
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3. Question 3 of 6. Select two.Monitoring is important to maintain high-quality machine learning (ML) models and help ensure accurate predictions. Which AWS services or features help with monitoring and human review? (Select TWO.)

   AAmazon SageMaker JumpStartBAmazon SageMaker Model MonitorCAmazon Augmented AI (Amazon A2I)DAmazon SageMaker AI ClarifyEAmazon Bedrock
   Check answer0 of 2 selected
4. Question 4 of 6A developer has been asked to build an artificial intelligence (AI) application that will be used to help a research team in their work. What should the developer ask the research team to do so that the best model can be selected for the AI application?

   ADefine the use case of the application broadlyBDefine the use case of the application narrowlyCDefine the governance policies for the applicationDDefine which teams will be monitoring the model
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5. Question 5 of 6A lending agency is using an artificial intelligence (AI) system so that customers can apply for a loan in Wyoming. However, the development team has tested the model and noticed that there is a bias against loan applicants that have lived in Wyoming for less than 10 years. The development team's research revealed that there is not a lot of data sample available for these groups of people. What could the development team do to reduce the bias against applicants who have lived in Wyoming for less than 10 years?

   AUse more inclusive dataBPreprocess the dataCAugment the dataDConduct regular audits on the data
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6. Question 6 of 6. Select two.An organization is in the beginning stages of building an application that will use generative artificial intelligence (generative AI) technologies. The development team wants to use the best model for the application’s use case. But with the large selection of large language models (LLMs), the development team is not sure which model to select. Also, the application will be public facing, and the team is concerned about the potential of generating harmful content. Which AWS solutions should the team use to address these concerns? (Select TWO).

   AAmazon SageMaker Model DashboardBModel Evaluation on Amazon BedrockCAmazon Augmented AI (Amazon A2I)DAmazon SageMaker Data WranglerEGuardrails for Amazon Bedrock
   Check answer0 of 2 selected