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MLA-C01 · Question #146
MLA-C01 Question #146: Real Exam Question with Answer & Explanation
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Deployment and Orchestration of ML Workflows
Question
A company is planning to create an internal-only chat interface to help employees handle customer queries. Currently, the employees need to refer to a massive knowledge base of internal documents to address customer issues. The new solution must be serverless. Which combination of steps will meet these requirements?
Options
- ASet up Amazon Bedrock with the Anthropic Claude foundation model.
- BSet up Amazon SageMaker JumpStart with the Llama foundation model.
- CUse Amazon EC2 instances with Amazon API Gateway to invoke the model API.
- DUse AWS Lambda functions with Amazon API Gateway to invoke the model API.
- EUse an Amazon S3 bucket to store vector database dumps and embeddings.
- FUse Amazon RDS for MySQL to store vector database dumps and embeddings.
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Topics
#Serverless Architecture#Generative AI#Retrieval Augmented Generation (RAG)#Vector Embeddings