AWS AI Practitioner (AIF-C01) · 24% practice allocation

AWS AIF-C01: Fundamentals of Generative AI Practice Questions

5 free sample questions from the Fundamentals of Generative AI domain, with answers and explanations. The full AIF-C01 bank has 60 questions across 5 domains. Questions are scenario-based and written from the official AWS exam guide.

1.

Which AWS offering is a generative-AI-powered assistant designed to help EMPLOYEES get answers, summaries, and insights grounded in their company's own data and systems?

  • A. Amazon Athena
  • B. Amazon Q Business✓ Correct
  • C. Amazon Rekognition
  • D. AWS Lambda
Explanation

Amazon Q Business is a generative AI assistant that connects to enterprise data to answer questions and summarize for employees. Rekognition (C) is an image/video analysis service, Athena (A) queries data in S3 with SQL, and Lambda (D) runs serverless code — none is the enterprise generative AI assistant.

2.

A developer wants to quickly discover, evaluate, and deploy prebuilt foundation models within Amazon SageMaker. Which capability provides this?

  • A. AWS Trusted Advisor
  • B. Amazon CloudWatch Logs
  • C. Amazon SageMaker JumpStart✓ Correct
  • D. Amazon SageMaker Ground Truth only
Explanation

SageMaker JumpStart provides a hub of prebuilt foundation models and solutions you can evaluate and deploy quickly. Ground Truth (D) is for data labeling, CloudWatch Logs (B) is monitoring, and Trusted Advisor (A) gives account best-practice checks — none is the model hub.

3.

Which AWS service provides access to a range of foundation models from multiple providers through a single managed API for building generative AI applications?

  • A. Amazon Bedrock✓ Correct
  • B. Amazon EC2 Auto Scaling
  • C. AWS CloudTrail
  • D. Amazon S3
Explanation

Amazon Bedrock offers foundation models from multiple providers (Anthropic, Meta, Amazon, and others) via one managed, serverless API. S3 (D) is object storage, EC2 Auto Scaling (B) manages compute capacity, and CloudTrail (C) logs API activity — none is the generative AI model service.

4.

Which of the following is a typical, well-suited use case for generative AI? (Select the BEST answer)

  • A. Guaranteeing 100% factually verified legal rulings with no review
  • B. Performing exact financial ledger reconciliation requiring deterministic accuracy
  • C. Replacing all database transactions
  • D. Summarizing long documents and drafting first-pass content✓ Correct
Explanation

Summarization and drafting are core generative AI strengths. Options A and B require deterministic, verifiable correctness that generative models can't guarantee (they can hallucinate), so they need human review or traditional systems. Option C misapplies generative AI to transactional database work.

5.

A team wants to generate original images from text descriptions within AWS. Which type of foundation model do they need, accessible via Amazon Bedrock?

  • A. A text-to-image (image generation) foundation model✓ Correct
  • B. A speech-to-text model only
  • C. A tabular regression model
  • D. A relational database engine
Explanation

Generating images from text requires a text-to-image foundation model, several of which are available through Amazon Bedrock. Speech-to-text (B) transcribes audio, a regression model (C) predicts numbers, and a database engine (D) is not a generative model.

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