Page 20 of 22 · 422 total questions.
An AI practitioner is creating prompts for an Amazon Nova Canvas model. The AI practitioner wants to exclude certain characteristics from the model’s generated output. Which prompting technique will meet this requirement?
The correct answer is B. Option B: Negative prompts.
A company is building a conversational AI assistant. The company plans to use Amazon Bedrock Guardrails to prevent users from attempting to bypass the AI assistant’s built-in safety capabilities. Which type of Bedrock Guardrail policy will meet this requirement?
The correct answer is C. Option C: Prompt attacks.
A company has implemented a large language model (LLM) solution by using a pre-trained model. The company needs to ensure that the model’s responses are transparent and accurate. The company wants to ground the model’s responses in factual information from the company’s authoritative data sources. Which technique should the company use to meet these requirements?
The correct answer is C. Option C: Retrieval Augmented Generation (RAG).
A company is deploying an AI-powered loan approval system. The company must comply with data governance regulations for AI. Which solution will meet these requirements?
The correct answer is B. Option B: Implement data lifecycle management to track and manage AI training data.
A company built an AI chatbot. The chatbot uses large language models (LLMs) to answer user questions. The company wants to keep the chatbot’s LLM instructions private. Which security risk should the company consider?
The correct answer is B. Option B: Prompt leakage.
A company wants to use a large language model (LLM) to generate responses based on company data. Which strategy will meet this requirement?
The correct answer is C. Option C: Fine-tune a custom model on company data.
What is an example of structured data?
The correct answer is C. Option C: A CSV file that consists of measurement data.
A company uses foundation models (FMs) to automate daily tasks. An AI practitioner at the company is creating system instructions that include context that is relevant to the tasks. The AI practitioner wants to save and reuse the instructions in daily interactions with FMs in Amazon Bedrock. Which Amazon Bedrock solution will meet these requirements?
The correct answer is D. Option D: Prompt management.
A company maintains a large product catalog with detailed descriptions. The company wants to build an AI assistant to answer customer questions about the products. However, the company’s labeled training data is limited. Which solution will meet these requirements with the LEAST implementation effort?
The correct answer is A. Option A: Use a Retrieval Augmented Generation (RAG) architecture to query the product database at runtime. Provide relevant, unmodified product descriptions as context for the foundation model (FM).
A company is deploying a new AI application to generate content for internal users. Which strategy will make the application output more deterministic?
The correct answer is A. Option A: Decreasing the temperature.
A company runs an application on servers in an Amazon VPC. The company’s application uses Amazon Bedrock APIs for AI features. The company does not want API calls to travel across the public internet. Which solution will meet this requirement?
The correct answer is A. Option A: Use AWS PrivateLink to establish a private connection between the Amazon VPC and Amazon Bedrock.
Explanation
AWS PrivateLink exposes services privately inside the VPC without internet exposure. Amazon Bedrock provides access to foundation models through a managed API.
A financial company uses an ML model to detect potentially fraudulent transactions. The company needs to ensure that some types of predictions receive review by human analysts before the company acts upon the predictions. Which AWS solution will meet this requirement?
The correct answer is C. Option C: Amazon Augmented AI (Amazon A2I).
Which strategy will evaluate the performance of a foundation model (FM) in real-world applications?
The correct answer is A. Option A: Conducting A/B testing with users in a controlled environment.
A company is building a chatbot. The chatbot uses a large language model (LLM) and answers customer questions about products. The company wants the chatbot to answer only product questions. The company does not want the chatbot to answer questions about other topics. Which solution will meet these requirements with the LEAST operational overhead?
The correct answer is A. Option A: Set guardrails on the LLM prompt template.
A company is building a large language model (LLM)-based AI assistant to support service agents by automatically managing customer inquiries. The company wants to reduce the effort that customer service agents require during support calls. The company needs to select a metric to evaluate the AI assistant against one of the company’s business objectives. Which metric will meet these requirements?
The correct answer is B. Option B: Average call duration.
A company has fine-tuned an Amazon Bedrock foundation model (FM) to produce short document summaries. The company wants an automated metric that compares each model-generated summary with its human-written reference summary. Which metric will meet these requirements?
The correct answer is B. Option B: Recall-Oriented Understudy for Gisting Evaluation (ROUGE).
A company has created an AI assistant to provide relevant information to employees about internal processes. The AI assistant uses a fine-tuned foundation model (FM). The company wants to use feedback from employees to further refine the model's responses. Which solution will meet these requirements?
The correct answer is C. Option C: Use reinforcement learning from human feedback (RLHF).
Which AWS service provides a broad range of high-performing generative AI foundation models (FMs)?
The correct answer is A. Option A: Amazon Bedrock
Explanation
Amazon Bedrock provides access to foundation models through a managed API.
A company is preparing data to fine-tune a large language model (LLM). The company must follow the principles of responsible AI. Which actions will meet this requirement? (Choose two.)
The correct answer is A, B. Option A: Include demographically diverse data sources to improve model fairness. Option B: Apply consistent labeling standards across the training dataset.
Explanation
Amazon RDS is a managed relational database that handles patching, backups and failover.
Which benefit does a company gain by using ongoing pre-training to fine-tune a foundation model (FM)?
The correct answer is B. Option B: Improved model performance over time.
Showing questions 381–400 of 422 · Page 20 of 22