Responsible AI Quiz - Competitive Exams AWS_AI_Practitioner
Free practice quiz: Responsible AI (Competitive Exams AWS_AI_Practitioner). 64 multiple-choice questions with answers and explanations. Play online, no sign-up needed.
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Which AWS service helps detect and mitigate bias in machine learning models by providing bias metrics for your datasets and models?
- Amazon SageMaker Clarify
- AWS Trusted Advisor
- AWS Config
- Amazon Rekognition
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Answer: A. Amazon SageMaker Clarify
What does 'explainability' in AI refer to?
- The ability to explain the training process
- The ability to explain the business case for AI
- The ability to explain the code to other developers
- The ability to explain the AI's decision-making process to humans
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Answer: D. The ability to explain the AI's decision-making process to humans
Which of the following best describes the concept of 'model cards' as used in Responsible AI?
- Short documents that describe a model's intended use, performance, and limitations
- Dashboards that show real-time inference latency
- Physical cards issued to data scientists for access to GPU instances
- Credit card–style credentials for paying for AI service usage
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Answer: A. Short documents that describe a model's intended use, performance, and limitations
What is the primary function of the Amazon SageMaker Clarify bias detection job?
- To automatically remove biased data from the training set
- To generate synthetic data that is guaranteed to be unbiased
- To measure bias metrics in training data and trained models before and after training
- To encrypt training data to protect against bias
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Answer: C. To measure bias metrics in training data and trained models before and after training
Which AWS service can automatically detect and redact personally identifiable information (PII) from text documents?
- Amazon Transcribe
- Amazon Comprehend
- Amazon Polly
- Amazon Rekognition
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Answer: B. Amazon Comprehend