A company will add an internal generative AI Q&A interface using a popular open-source LLM. Which two steps will deploy the interface with the least operational overhead? (Choose two.)

Using Amazon SageMaker JumpStart is the most efficient way to deploy popular open-source LLMs with minimal operational overhead. JumpStart provides pre-built solutions and one-click deployment for many models, handling infrastructure provisioning and configuration. Creating a frontend HTML interface combined with Amazon API Gateway WebSocket API and AWS Lambda functions offers a serverless and scalable solution for user interaction. API Gateway and Lambda automatically scale based on demand, reducing the need for manual server management and minimizing operational burden. Downloading the LLM and deploying it on an EC2 instance requires significant manual setup and management, increasing operational overhead. Amazon QuickSight is a business intelligence service, not suitable for building interactive generative AI interfaces. Amazon Lex is for building conversational bots, which is a specific use case, but a general HTML interface with API Gateway and Lambda offers more flexibility for a Q&A interface.