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AIF-C01 practice question: AWS generative AI services (4 of 5)

Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.

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A retail company's managers want to ask plain-language questions about sales data and internal documents, get answers with charts, and set up simple automated workflows.

They do not want to write code or manage models.

Which AWS service is designed for this?

Choose one answer.

  1. A. Amazon SageMaker AI, a platform for building and training custom ML models
  2. B. Amazon Quick, an AI-powered workspace with chat, dashboards and automation
  3. C. Amazon Inspector, which scans EC2 and container workloads for software vulnerabilities
  4. D. Amazon Transcribe, which converts speech in recordings into text
Show the answer and explanation

Answer: B

  • A. Wrong: SageMaker AI is built for data scientists who train and deploy their own models. It needs ML expertise and gives business managers no ready-made chat or dashboard experience.
  • B. Right: Correct. Amazon Quick is a fully managed service that combines natural language chat over connected data with dashboards and AI-powered workflows. It needs no infrastructure or ML expertise, and it evolved from Amazon QuickSight. Learn more: What is Amazon Quick? (opens in a new tab)
  • C. Wrong: Inspector scans EC2 instances, container images and other workloads for software vulnerabilities. It is a security tool, so it does not answer business questions or build workflows.
  • D. Wrong: Transcribe converts speech in audio and video into text. It does not analyze sales data, answer questions over documents or automate business tasks.

Explanation

Amazon Quick, which evolved from Amazon QuickSight, brings AI agents, chat over business data and documents, dashboards and automation to business users. Its flows automate repetitive tasks. Developers who need custom ML models use services such as SageMaker AI instead.

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