Which AWS feature records details about ML instance data for governance and reporting?
Answer(s): A
Amazon SageMaker Model Cards record key details about machine learning models, including intended use,training data, evaluation metrics, and compliance information. They support governance and reporting by providing a standardized way to document model information throughout its lifecycle.
A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?
Answer(s): C
Copying content from generative AI to write essays without proper attribution constitutes plagiarism, which is a key challenge of responsible generative AI. The other options are unrelated to this specific issue.
A company is building a custom AI solution in Amazon SageMaker Studio to analyze financial transactions for fraudulent activity in real time. The company needs to ensure that the connectivity from SageMaker Studio toAmazon Bedrock traverses the company’s VPC.Which solution meets these requirements?
AWS PrivateLink enables private connectivity to AWS service APIs through VPC interface endpoints, ensuringSageMaker Studio traffic to the Amazon Bedrock API stays within the company’s VPC and does not traverse the public internet.
HOTSPOT (Drag and Drop is not supported)A company is building an AI assistant application. The company must implement a core governance process for the application development project. The company must ensure that the application aligns with responsibleAI practices.Select and order the steps from the following list to correctly describe the implementation of a core governance process for this use case. Select each step one time.Hot Area:
##Step 1: Determine governance goals, risks, and policies.Step 2: Put together a cross-functional AI governance group.Step 3: Set up model monitoring mechanisms.Governance starts by defining objectives, risks, and policies to establish direction. Then a cross-functional group is formed to enforce and operationalize governance. Finally, monitoring mechanisms are implemented to continuously ensure compliance and responsible AI behavior.
A company evaluates a medical AI model by testing its predictions against a labeled dataset of radiology reports to measure diagnostic accuracy.Which evaluation method is the company using?
Answer(s): B
Domain-specific benchmark testing evaluates a model against labeled data from the same specialized domain,such as radiology reports, to measure how accurately it performs on relevant real-world tasks.
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