Q75 — AWS AIF-C01 Ch.3
Question 75 of 100 | ← Chapter 3
A company wants to create a virtual assistant to support customer queries. The virtual assistant will provide answers in natural language. These answers will be based on documents stored in Amazon S3. The company wants to use a managed service and does not want to configure parameters for models, embeddings, conversational capabilities, or vector storage. Which solution best meets these requirements in the most operationally efficient way?
- A. Amazon Comprehend
- B. Amazon Q Business ✓
- C. Amazon SageMaker JumpStart
- D. Amazon Lex
Correct Answer: B. Amazon Q Business
Explanation
Based on the scenario, the company seeks a managed virtual assistant that answers natural-language customer queries using documents stored in Amazon S3, without requiring configuration of models, embeddings, dialogue features, or vector stores. Amazon Q Business is precisely such a managed service: it enables enterprises to build virtual assistants for customer query support using natural language, grounded in Amazon S3 documents, with minimal operational overhead. Therefore, option B, Amazon Q Business, is the most appropriate solution.