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Databricks Generative AI Engineer Associate Practice Question 6: Prompt Registry Aliases

Databricks Certified Generative AI Engineer Associate · Test 1 · question 6 of 10

Assembling and Deploying Applicationseasy

A team changes its agent's system prompt several times a week. Right now the prompt is a string in the agent code, so every wording change needs a full code redeploy, and there is no record of which prompt produced which behavior. They want prompt versions that cannot be changed after creation, a gated promotion to production, and one-step rollback.

Which approach meets these requirements?

Select one answer
Show answer and explanation

Answer:

  • C. Register the prompt in the MLflow Prompt Registry and load it through a production alias

The MLflow Prompt Registry stores prompts in Unity Catalog. It works like Git: each version is an immutable snapshot with an auto-incrementing number, and aliases are mutable pointers to versions. The agent loads prompts:/catalog.schema.name@production. Promotion means pointing the production alias at a validated version, and rollback means pointing it back at an earlier version. Neither requires a code change, and every version is kept for audit.

Option A still couples every prompt change to a code redeploy, which is the problem the team wants to remove.

Option B loses history. Overwriting the production row destroys the previous prompt, so there is no immutable version to roll back to.

Option D gives no versioning or gating. "Latest file" means any edit reaches production at the next restart with no approval step and no rollback.

Reference: Prompt Registry

Practice Test 1 ›

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