Task Statement 4.2: Recognize the Importance of Transparent and Explainable Models. AIF-C01 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A retail company wants to use an open-source model for customer sentiment analysis. They are concerned about the model's transparency and the legal implications of using it. Which of the following should they do FIRST?

   • AAssume the model is safe because it is open source.
   • BDeploy the model immediately to gain a competitive advantage.
   • CUse Amazon SageMaker Clarify to generate a model card for the open-source model.
   • DReview the model's license and documentation to understand its intended use and limitations.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which AWS service is specifically designed to detect bias and explain model predictions?

   • AAmazon Bedrock Model Evaluations
   • BAWS Identity and Access Management (IAM)
   • CAmazon SageMaker Model Cards
   • DAmazon SageMaker Clarify
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A data science team is using Amazon SageMaker Clarify to analyze a model for potential bias. They want to understand which features are most influential in the model's predictions. Which Clarify feature should they use?

   • AData quality reports
   • BBias metrics
   • CFeature importance
   • DModel cards
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   What is the primary purpose of an Amazon SageMaker Model Card?

   • ATo store the training dataset in a secure location.
   • BTo automatically retrain a model when performance degrades.
   • CTo document model information, including intended use, performance, and limitations.
   • DTo provide a visual interface for monitoring model endpoints.
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   How can adding interpretability measures to a model affect its performance?

   • AIt only affects the training time, not the model's accuracy.
   • BIt has no effect on performance.
   • CIt always improves performance by making the model easier to debug.
   • DIt may reduce performance if the model is constrained to be more interpretable.
   Reveal Solution Discussion Select an answer first