| Question.11 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.12 A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts. An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders. What should the AI practitioner include in the report to meet the transparency and explainability requirements? (A) Code for model training (B) Partial dependence plots (PDPs) (C) Sample data for training (D) Model convergence tables |
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Correct Answer : B
| Question.13 A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. Which solution meets these requirements? (A) Build an automatic named entity recognition system. (B) Create a recommendation engine. (C) Develop a summarization chatbot. (D) Develop a multi-language translation system. |
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Correct Answer : c
| Question.14 A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output. Which ML algorithm meets these requirements? (A) Decision trees (B) Linear regression (C) Logistic regression (D) Neural networks |
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Correct Answer : A
| Question.15 A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly. Which evaluation metric should the company use to measure the model’s performance? (A) R-squared score (B) Accuracy (C) Root mean squared error (RMSE) (D) Learning rate |
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Correct Answer : B