| Question.1 An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data. How should the AI practitioner prevent responses based on confidential data? (A) Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model. (B) Mask the confidential data in the inference responses by using dynamic data masking. (C) Encrypt the confidential data in the inference responses by using Amazon SageMaker. (D) Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS). |
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Correct Answer : A
| Question.2 Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)? (A) Helps decrease the model’s complexity (B) Improves model performance over time (C) Decreases the training time requirement (D) Optimizes model inference time |
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Correct Answer : B
| Question.3 A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks. Which ML strategy meets these requirements? (A) Increase the number of epochs (B) Use transfer learning. (C) Decrease the number of epochs. (D) Use unsupervised learning. |
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Correct Answer : B
| Question.4 A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months. Which AWS solution should the company use to automate the generation of graphs? (A) Amazon Q in Amazon EC2 (B) Amazon Q Developer (C) Amazon Q in Amazon QuickSight (D) Amazon Q in AWS Chatbot |
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Correct Answer : C
| Question.5 A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. Which SageMaker feature meets these requirements? (A) Amazon SageMaker Feature Store (B) Amazon SageMaker Data Wrangler (C) Amazon SageMaker Clarify (D) Amazon SageMaker Model Cards |
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Correct Answer : A