A company wants to use an ML model to analyze customer reviews on social media. The model must determine if each review has a neutral, positive, or negative sentiment.Which model evaluation strategy will meet these requirements?
Answer(s): D
Classification is the evaluation strategy that assigns input data (such as customer reviews) to predefined categories - in this case, neutral, positive, or negative sentiment. This approach is standard for sentiment analysis tasks.
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?
Answer(s): B
Amazon SageMaker JumpStart provides pre-built models, including foundation models, that can be quickly deployed and consumed within a VPC, helping teams get started faster. The other options are not designed for deploying foundation models in this context.
An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface.Which solution will meet these requirements with the LEAST development effort?
Amazon Bedrock allows quick integration of large language models with a knowledge base using RAGarchitecture, enabling accurate and dynamic responses based on up-to-date information. This approach requires minimal development effort while leveraging powerful generative capabilities.
A company needs to scan its Amazon EC2 based ML infrastructure for security vulnerabilities before deploying generative AI (GenAI) models.Which AWS service provides automated vulnerability assessment?
Answer(s): C
Amazon Inspector provides automated vulnerability management for AWS workloads, including Amazon EC2instances. It continuously scans for software vulnerabilities and unintended network exposure, helping identify security issues before deploying GenAI models.
Sentiment analysis is a subset of which broader field of AI?
Sentiment analysis is a subset of natural language processing (NLP), which focuses on analyzing and interpreting human language, including the detection of sentiment within text.
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