AI Supply Chain Attestation: Knowing What's Actually In Your Stack

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-safety-AI-supply-chain-attestation-adults

1. What is the core idea behind "AI Supply Chain Attestation: Knowing What's Actually In Your Stack"?

   1. Modern AI deployments stack 5-10 vendor models, libraries, and services. When something goes wrong, you need to know exactly what's running where. Here's how to maintain real attestation.
   2. Preserve evidence with proper chain-of-custody
   3. You feel sad after chatting with AI for too long.
   4. conversation logs

2. Which term best describes a foundational idea in "AI Supply Chain Attestation: Knowing What's Actually In Your Stack"?

   1. SBOM
   2. AI supply chain
   3. attestation
   4. model cards

3. A learner studying AI Supply Chain Attestation: Knowing What's Actually In Your Stack would need to understand which concept?

   1. AI supply chain
   2. attestation
   3. SBOM
   4. model cards

4. Which of these is directly relevant to AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. AI supply chain
   2. SBOM
   3. model cards
   4. attestation

5. Which of the following is a key point about AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. Maintain a software bill of materials (SBOM) extended to AI components (models, training data source…
   2. Document model provenance for every deployed model (publisher, version, training data window, evalua…
   3. Track vendor changes — model upgrades happen continuously and can change behavior
   4. Audit access to ensure only known dependencies are in production

6. Which of these does NOT belong in a discussion of AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. Maintain a software bill of materials (SBOM) extended to AI components (models, training data source…
   2. Document model provenance for every deployed model (publisher, version, training data window, evalua…
   3. Track vendor changes — model upgrades happen continuously and can change behavior
   4. Preserve evidence with proper chain-of-custody

7. Which statement is accurate regarding AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. Substitute attestation for actual security testing
   2. Predict downstream effects of every vendor model update
   3. Eliminate vendor risk entirely (some opacity is structural)
   4. Preserve evidence with proper chain-of-custody

8. What is the key insight about "AI supply chain audit" in the context of AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. Preserve evidence with proper chain-of-custody
   2. You feel sad after chatting with AI for too long.
   3. conversation logs
   4. Audit our AI deployment supply chain. For each component, capture: (1) AI models in production (publisher, version, role…

9. What is the key insight about "Silent model updates change behavior" in the context of AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

   1. Vendor models update without notice and can produce different outputs for the same prompt.
   2. Preserve evidence with proper chain-of-custody
   3. You feel sad after chatting with AI for too long.
   4. conversation logs

10. Which statement accurately describes an aspect of AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

    1. Preserve evidence with proper chain-of-custody
    2. AI deployments accumulate dependency layers that obscure what's actually running; attestation discipline maintains the visibility needed for…
    3. You feel sad after chatting with AI for too long.
    4. conversation logs

11. Which best describes the scope of "AI Supply Chain Attestation: Knowing What's Actually In Your Stack"?

    1. It is unrelated to ethics-safety workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on Modern AI deployments stack 5-10 vendor models, libraries, and services. When something goes wrong,
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

    1. Preserve evidence with proper chain-of-custody
    2. You feel sad after chatting with AI for too long.
    3. conversation logs
    4. What AI does well here

13. Which section heading best belongs in a lesson about AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

    1. What AI cannot do
    2. Preserve evidence with proper chain-of-custody
    3. You feel sad after chatting with AI for too long.
    4. conversation logs

14. Which of the following is a concept covered in AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

    1. SBOM
    2. AI supply chain
    3. attestation
    4. model cards

15. Which of the following is a concept covered in AI Supply Chain Attestation: Knowing What's Actually In Your Stack?

    1. AI supply chain
    2. attestation
    3. SBOM
    4. model cards