Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?

• Integration with Amazon S3 for object storage

• Support for geospatial indexing and queries

• Scalable index management and nearest neighbor search capability

• Ability to perform real time analysis on streaming data

Which option is a use case for generative AI models?

• Improving network security by using intrusion detection systems

• Creating photorealistic images from text descriptions for digital marketings

• Increasing database performance by using optimized indexing

• Analyzing financial data to forecast stock market trends

A company wants to build a generative AI application by using Amazon Bedrock and needs to choose a foundation model (FM). The company wants to know how much information can fit into one prompt Which consideration will inform the company's decision?

• Temperature

• Context window

• Batch size

• Model size

A company wants to make a chat bot to help customers. The chatbot will help solve technical problems without human intervention The company chose a foundation model (FM) for the chatbot. The chat bot needs to produce responses that adhere to company tone Which solution meets these requirements?

• Set a low limit on the number of tokens the FM can produce

• Use batch inferencing to process detailed responses

• Experiment and refine the prompt until the FM produce the desired responses

• Define a higher number for the temperature parameter

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative. Which prompt engineering strategy meets these requirements?

• Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.

• Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt

• Provide the new text passage to be classified without any additional context or examples

• Provide the new text passage with a few examples of unrelated tasks such as text summarization or question answering,

A security company is using Amazon Bedrock to run foundation model (FMS). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS identity and access management (IAM) policies and rules for future iterations of the FMs Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?

• AWS Audit Manager

• AWS Cloud Trail

• Amazon Fraud Detector

• AWS Trusted Advisor

A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure. Which solution will meet these requirements?

• Use Amazon SageMaker Serverless inference to deploy the model

• Use Amazon CloudFront to deploy the model.

• Use Amazon API gateway to host the model and serve predictions

• Use AWS batch to host the model and serve

An AI company periodically evaluates its systems and processes with the help of independent software vendor (ISVs). The company needs to receive e-mail message notifications when an ISVs compliance reports become available Which AWS service can the company use to meet these requirements

• AWS Audit Manager

• AWS Artifact

• AWS Trusted advisor

• AWS Data Exchange

A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable action or expose sensitive information Which action will reduce these risks?

• Create a prompt template that teaches the LLM to detect attack patterns

• Increase the temperature parameter on invocation requests to the LLM

• Avoid using LLM's that are not listed in Amazon SageMaker

• Decreased the number of input tokens on invocation of the LLM

A company is using the generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified 4 different solution scopes based on the matrix. Which solution scope gives the company the most ownership of security responsibilities?

• Using a third-party enterprise application that has embedded generative AI features.

• Building an application by using an existing third-party generative AI foundation model (FM)

• Refining an existing third-party generative AI foundation model FM by fine tuning the model by using data is specific to the business

• Building and training a generative AI model from scratch by using specific data that a customer owns.