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MLflow Model Registry Flashcards

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  1. Which MLflow API method is used to transition a registered model version to the 'Production' stage?

    Answer: client.transition_model_version_stage()

    The MlflowClient method `transition_model_version_stage()` is used to move a model version between stages like Staging, Production, or Archived.

  2. In Unity Catalog-backed MLflow, model names follow which naming convention?

    Answer: catalog.schema.model_name

    Unity Catalog uses a three-level namespace: catalog.schema.model_name, such as main.ml_models.my_classifier.

  3. What is the purpose of model aliases in the MLflow Model Registry?

    Answer: To assign a mutable named reference to a specific model version

    Aliases provide a mutable, human-readable pointer (e.g., 'champion') to a specific version, making it easy to update which version serves a role without changing calling code.

  4. Which function registers a model that was logged during an MLflow run?

    Answer: mlflow.register_model()

    `mlflow.register_model(model_uri, name)` takes the run artifact URI and registers it under a given name in the Model Registry.

  5. When loading a model from the registry using a Unity Catalog alias, which URI format is correct?

    Answer: models:/catalog.schema.model@alias

    The correct URI format uses `models:/` followed by the three-level name and `@alias`, e.g., `models:/main.ml.my_model@champion`.

  6. What does setting `registered_model_name` in `mlflow.log_model()` accomplish?

    Answer: It logs and simultaneously registers the model in the registry in one step

    Passing `registered_model_name` to `mlflow.log_model()` both logs the model artifact and registers it in the Model Registry as a single operation.

  7. Which stage is NOT a valid built-in stage in the legacy (Workspace) MLflow Model Registry?

    Answer: Deprecated

    The legacy MLflow Model Registry has three built-in stages: Staging, Production, and Archived; 'Deprecated' is not a standard stage.

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