QUESTION 161
A company designed an AI-powered agent to answer customer inquiries based on product manuals. Which strategy can improve customer confidence levels in the AI-powered agent’s responses?
A. Writing the confidence level in the response
B. Including referenced product manual links in the response
C. Designing an agent avatar that looks like a computer
D. Training the agent to respond in the company’s language style
Correct Answer: B
QUESTION 162
A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals. Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?
A. User-generated content
B. Moderation logs
C. Content moderation guidelines
D. Benchmark datasets
Correct Answer: D
QUESTION 163
A company wants to improve the accuracy of the responses from a generative AI application. The application uses a foundation model (FM) on Amazon Bedrock. Which solution meets these requirements MOST cost-effectively?
A. Fine-tune the FM.
B. Retrain the FM.
C. Train a new FM.
D. Use prompt engineering.
Correct Answer: D
QUESTION 164
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 ALI.
D. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
Correct Answer: A
QUESTION 165
A company is using domain-specific models. The company wants to avoid creating new models. 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.
Correct Answer: B
QUESTION 166
A company wants to create a new solution by using AWS Glue. The company has minimal programming experience with AWS Glue. Which AWS service can help the company use AWS Glue?
A. Amazon Q Developer
B. AWS Config
C. Amazon Personalize
D. Amazon Comprehend
Correct Answer: A
QUESTION 167
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 AI.
D. Create medication review summaries by using Amazon Rekognition.
Correct Answer: B
QUESTION 168
A company has created multiple ML models. The company needs a solution for storing, managing, and versioning the models. Which AWS service or feature meets these requirements?
A. AWS Audit Manager
B. Amazon SageMaker Model Monitor
C. Amazon SageMaker Model Registry
D. Amazon SageMaker Canvas
Correct Answer: C
QUESTION 169
An ecommerce company wants to improve search engine recommendations by customizing the results for each user of the company’s ecommerce platform. Which AWS service meets these requirements?
A. Amazon Personalize
B. Amazon Kendra
C. Amazon Rekognition
D. Amazon Transcribe
Correct Answer: A
QUESTION 170
A retail company wants to build an ML model to recommend products to customers. The company wants to build the model based on responsible practices. Which practice should the company apply when collecting data to decrease model bias?
A. Use data from only customers who match the demographics of the company’s overall customer base.
B. Collect data from customers who have a past purchase history.
C. Ensure that the data is balanced and collected from a diverse group.
D. Ensure that the data is from a publicly available dataset.
Correct Answer: C
QUESTION 171
A company wants to control employee access to publicly available foundation models (FMs). Which solution meets these requirements?
A. Analyze cost and usage reports in AWS Cost Explorer.
B. Download AWS security and compliance documents from AWS Artifact.
C. Configure Amazon SageMaker JumpStart to restrict discoverable FMs.
D. Build a hybrid search solution by using Amazon OpenSearch Service.
Correct Answer: C
QUESTION 172
A company has developed custom computer vision models. The company needs a user-friendly interface for data labeling to minimize model mistakes on new real-world data. Which Aws service, feature, or tool meets these requirements?
A. Amazon SageMaker Ground Truth
B. Amazon SageMaker Canvas
C. Amazon Bedrock playground
D. Amazon Bedrock Agents
Correct Answer: A
QUESTION 173
Which phase of the ML lifecycle determines compliance and regulatory requirements?
A. Feature engineering
B. Model training
C. Data collection
D. Business goal identification
Correct Answer: D
QUESTION 174
An AI practitioner needs to improve the accuracy of a natural language generation model. The model uses rapidly changing inventory data. Which technique will improve the model’s accuracy?
A. Transfer learning
B. Federated learning
C. Retrieval Augmented Generation (RAG)
D. One-shot prompting
Correct Answer: D
QUESTION 175
A hospital wants to use a generative Al solution with speech-to-text functionality to help improve employee skills in dictating clinical notes. Which AWS service meets these requirements?
A. Amazon Q Developer
B. Amazon Polly
C. Amazon Rekognition
D. AWS HealthScribe
Correct Answer: D
QUESTION 176
A manufacturing company wants to create product descriptions in multiple languages. Which AWS service will automate this task?
A. Amazon Translate
B. Amazon Transcribe
C. Amazon Kendra
D. Amazon Polly
Correct Answer: A
QUESTION 177
A research group wants to test different generative Al models to create research papers. The research group has defined a prompt and needs a method to assess the models’ output. The research group wants to use a team of scientists to perform the output assessments. Which solution will meet these requirements?
A. Use automatic evaluation on Amazon Personalize.
B. Use content moderation on Amazon Rekognition.
C. Use model evaluation on Amazon Bedrock.
D. Use sentiment analysis on Amazon Comprehend.
Correct Answer: C
QUESTION 178
A company needs to select a generative Al model to build an application. The application must provide responses to users in real time. Which model characteristic should the company consider to meet these requirements?
A. Model complexity
B. Innovation speed
C. Inference speed
D. Training time
Correct Answer: C
QUESTION 179
A financial services company must ensure that its generative Al-powered chatbot provides factual responses for regulatory compliance. Which solution prevents the underlying foundation model (FM) from hallucinating?
A. Use AWS Config to query compliance metadata by using natural language.
B. Configure Amazon Bedrock Guardrails to evaluate user inputs and model responses.
C. Use Amazon Fraud Detector to detect potentially fraudulent online activities.
D. Use AWS Audit Manager to prepare IT audit and compliance reports.
Correct Answer: B
QUESTION 180
An AI practitioner is building an ML system to predict customer lifetime value. The Al practitioner wants to detect potential bias in the training data to ensure that predictions are fair across demographic groups. Which solution will assess bias in the data?
A. Develop a business intelligence dashboard on Amazon QuickSight.
B. Develop automatic optical character recognition (OCR) by using Amazon Textract.
C. Configure an Amazon SageMaker Clarify processing job.
D. Create a feature group by using Amazon SageMaker Feature Store.
Correct Answer: C