QUESTION 1
A company wants to implement a large language model (LLM) based chatbot to provide customer service agents with real-time contextual responses to customers’ inquiries. The company will use the company’s policies as the knowledge base. Which solution will meet these requirements MOST cost-effectively?
A. Retrain the LLM on the company policy data.
B. Fine-tune the LLM on the company policy data.
C. Implement Retrieval Augmented Generation (RAG) for in-context responses.
D. Use pre-training and data augmentation on the company policy data.
Correct Answer: C
QUESTION 2
A financial company uses a generative Al model to assign credit limits to new customers. The company wants to make the decision-making process of the model more transparent to its customers. Which solution meets these requirements?
A. Use a rule-based system instead of an ML model.
B. Apply explainable Al techniques to show customers which factors influenced the model’s decision.
C. Develop an interactive Ul for customers and provide clear technical explanations about the system.
D. Increase the accuracy of the model to reduce the need for transparency.
Correct Answer: B
QUESTION 3
Sentiment analysis is a subset of which broader field of Al?
A. Computer vision
B. Robotics
C. Natural language processing (NLP)
D. Time series forecasting
Correct Answer: C
QUESTION 4
A financial company uses AWS to host its generative Al models. The company must generate reports to show adherence to international regulations for handling sensitive customer data. Which AWS service meets these requirements?
A. Amazon Macie
B. AWS Artifact
C. AWS Secrets Manager
D. AWS Config
Correct Answer: B
QUESTION 5
Which statement presents an advantage of using Retrieval Augmented Generation (RAG) for natural language processing (NLP) tasks?
A. RAG can use external knowledge sources to generate more accurate and informative responses.
B. RAG is designed to improve the speed of language model training.
C. RAG is primarily used for speech recognition tasks.
D. RAG is a technique for data augmentation in computer vision tasks.
Correct Answer: A
QUESTION 6
A food service company wants to collect a dataset to predict customer food preferences. The company wants to ensure that the food preferences of all demographics are included in the data. Which dataset characteristic does this scenario present?
A. Accuracy
B. Diversity
C. Recency bias
D. Reliability
Correct Answer: B
QUESTION 7
A company wants to set up private access to Amazon Bedrock APIs from the company’s AWS account. The company also wants to protect its data from internet exposure. Which solution meets these requirements?
A. Use Amazon CloudFront to restrict access to the company’s private content.
B. Use AWS Glue to set up data encryption across the company’s data catalog.
C. Use AWS Lake Formation to manage centralized data governance and cross-account data sharing.
D. Use AWS PrivateLink to configure a private connection between the company’s VPC and Amazon Bedrock.
Correct Answer: D
QUESTION 8
A company wants to create an Al tool to generate text descriptions of images. Which foundation model (FM) will meet this requirement MOST cost-effectively?
A. Amazon Nova Canvas
B. Amazon Nova Micro
C. Amazon Nova Lite
D. Amazon Nova Pro
Correct Answer: C
QUESTION 9
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
A. One-shot prompting
B. Prompt chaining
C. Tree of thoughts
D. Retrieval Augmented Generation (RAG)
Correct Answer: B
QUESTION 10
A company uses Amazon Bedrock to implement a generative Al assistant The Al assistant handles customer service inquiries about product returns. The Al assistant must provide accurate information about return policies and shipping procedures. The company needs to evaluate the accuracy of the responses from the Al assistant. Which metric will meet these requirements?
A. The real world knowledge (RWK) score
B. The semantic robustness score
C. The average resolution time for inquiries
D. The percentage of interactions that result in customer purchases
Correct Answer: A
QUESTION 11
A company is building a new generative AI chatbot. The chatbot uses an Amazon Bedrock foundation model (FM) to generate responses. During testing, the company notices that the chatbot is prone to prompt injection attacks. What can the company do to secure the chatbot with the LEAST implementation effort?
A. Fine-tune the FM to avoid harmful responses.
B. Use Amazon Bedrock Guardrails content filters and denied topics.
C. Change the FM to a more secure FM.
D. Use chain-of-thought prompting to produce secure responses.
Correct Answer: B
QUESTION 12
A company is using custom models in Amazon Bedrock for a generative Al application. The company wants to use a company managed encryption key to encrypt the model artifacts that the model customization jobs create. Which AWS service meets these requirements?
A. AWS Key Management Service (AWS KMS)
B. Amazon Inspector
C. Amazon Macie
D. AWS Secrets Manager
Correct Answer: A
QUESTION 13
A company is building an Al application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?
A. The temperature is set too high.
B. The selected model does not support fine-tuning.
C. The Top P value is too high.
D. The input tokens exceed the model’s context size.
Correct Answer: D
QUESTION 14
A company wants to label training datasets by using human feedback to fine-tune a foundation model (FM). The company does not want to develop labeling applications or manage a labeling workforce. Which AWS service or feature meets these requirements?
A. Amazon SageMaker Data Wrangler
B. Amazon SageMaker Ground Truth Plus
C. Amazon Transcribe
D. Amazon Macie
Correct Answer: B
QUESTION 15
A company runs a website for users to make travel reservations. The company wants an Al solution to help create consistent branding for hotels on the website. The Al solution needs to generate hotel descriptions for the website in a consistent writing style. Which AWS service will meet these requirements?
A. Amazon Comprehend
B. Amazon Personalize
C. Amazon Rekognition
D. Amazon Bedrock
Correct Answer: D
QUESTION 16
Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?
A. Reinforcement learning (RL)
B. Natural language processing (NLP)
C. Retrieval Augmented Generation (RAG)
D. Transfer learning
Correct Answer: C
QUESTION 17
A company uses Amazon Bedrock to implement a generative Al solution. The Al solution provides customers with personalized product recommendations. The company wants to evaluate the impact of the Al solution on sales revenue. Which metric will meet these requirements?
A. Cross-domain performance
B. Solution efficiency
C. User satisfaction
D. Conversion rate
Correct Answer: D
QUESTION 18
A company creates video content. The company wants to use generative Al to generate new creative content and to reduce video creation time. Which solution will meet these requirements in the MOST operationally efficient way?
A. Use the Amazon Titan Image Generator model on Amazon Bedrock to generate intermediate images. Use video editing software to create videos.
B. Use the Amazon Nova Canvas model on Amazon Bedrock to generate intermediate images. Use video editing software to create videos.
C. Use the Amazon Nova Reel model on Amazon Bedrock to generate videos.
D. Use the Amazon Nova Pro model on Amazon Bedrock to generate videos.
Correct Answer: C
QUESTION 19
Which type of ML technique provides the MOST explainability?
A. Linear regression
B. Support vector machines
C. Random cut forest (RCF)
D. Neural network
Correct Answer: A
QUESTION 20
A company needs to monitor the performance of its ML systems by using a highly scalable AWS service. Which AWS service meets these requirements?
A. Amazon CloudWatch
B. AWS CloudTrail
C. AWS Trusted Advisor
D. AWS Config
Correct Answer: A