Banco de preguntas (422)

A company is creating a model to label credit card transactions. The company has a large volume of sample transaction data to train the model. Most of the transaction data is unlabeled. The data does not contain confidential information. The company needs to obtain labeled sample data to fine-tune the model. Which solutions will meet these requirements? (Choose two.)

A company has developed an AI assistant application for customers by using Amazon Bedrock Agents. The company notices that the agents require additional context to make informed decisions consistently. The agents are not accessing external services to complete customer travel booking requests. The company needs to ensure that the agents access additional context when necessary. Which solution will meet this requirement?

A company has multiple datasets that contain historical data. The company wants to use ML technologies to process each dataset. Select the correct ML technology from the following list for each dataset. Select each ML technology one time or not at all.

A company wants to detect unauthorized API actions for foundation models (FMs) in Amazon Bedrock. Which solution meets these requirements?

A company has developed a generative AI application by using Amazon Bedrock. The application produces catalogs that are updated weekly. The company needs to select a pricing model for weekly catalog updates. Which Amazon Bedrock pricing model meets these requirements MOST cost-effectively?

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?

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?

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?

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?

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?

A company wants to use a large language model (LLM) to generate responses based on company data. Which strategy will meet this requirement?

What is an example of structured 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?

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?

A company is using Amazon Bedrock to build an assistant for its online store. The company wants to ensure that the assistant does not generate harmful responses based on hate speech, insults, sexual content, or violence. Which strategy will prevent harmful responses in Amazon Bedrock?

A company is deploying a new AI application to generate content for internal users. Which strategy will make the application output more deterministic?

An AI practitioner is using an Amazon Nova text model. The AI practitioner wants to apply prompt engineering techniques to ensure that prompts support an iterative refinement process. Select the correct prompt design component from the following list for each definition. Select each prompt design component one time.

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?

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?

Which strategy will evaluate the performance of a foundation model (FM) in real-world applications?