11. A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication.
Which solution meets these requirements?
A. Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.
B. Create medication review summaries by using Amazon Bedrock large language models (LLMs).
C. Create a classification model that categorizes medications into different groups by using Amazon SageMaker.
D. Create medication review summaries by using Amazon Rekognition.
Answer
B
12. A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise.
Which ML model type meets these requirements?
A. Logistic regression model
B. Deep learning model built on principal components
C. K-nearest neighbors (k-NN) model
D. Neural network
Answer
A
13. 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).
Answer
A
14. Which phase of the ML lifecycle determines compliance and regulatory requirements?
A. Feature engineering
B. Model training
C. Data collection
D. Business goal identification
Answer
D
15. A company wants to develop an AI application to help its employees check open customer claims, identify details for a specific claim, and access documents for a claim.
Which solution meets these requirements?
A. Use Agents for Amazon Bedrock with Amazon Fraud Detector to build the application.
B. Use Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application.
C. Use Amazon Personalize with Amazon Bedrock knowledge bases to build the application.
D. Use Amazon SageMaker to build the application by training a new ML model.
Answer
B
16. A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company’s employees prefer.
What should the company do to meet these requirements?
A. Evaluate the models by using built-in prompt datasets.
B. Evaluate the models by using a human workforce and custom prompt datasets.
C. Use public model leaderboards to identify the model.
D. Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Answer
B
17. A student at a university is copying content from generative AI to write essays.
Which challenge of responsible generative AI does this scenario represent?
A. Toxicity
B. Hallucinations
C. Plagiarism
D. Privacy
Answer
C
18. A company needs to build its own large language model (LLM) based on only the company’s private data. The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?
A. Amazon EC2 C series
B. Amazon EC2 G series
C. Amazon EC2 P series
D. Amazon EC2 Trn series
Answer
D
19. A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.
Which AWS service or feature will meet these requirements?
A. Amazon Rekognition
B. Amazon Bedrock playgrounds
C. Guardrails for Amazon Bedrock
D. Agents for Amazon Bedrock
Answer
C
20. A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?
A. Generative adversarial network (GAN)
B. XGBoost
C. Residual neural network
D. WaveNet
Answer
A