Create and manage assets in a Machine Learning workspace

A Platform Engineer is registering a versioned Azure ML data asset pointing to one CSV file at azureml://datastores/sales_store/paths/processed/sales.csv. The datastore exists and caller access is configured. Storage controls preserve the source bytes; the asset pointer itself is not a content-immutability guarantee. The following hypothetical CLI v2 YAML definition needs its type and source path.

$schema: https://azuremlschemas.azureedge.net/latest/data.schema.json
name: preprocessed_sales_data
version: "2023-clean"
description: Cleaned sales data
# Add the asset type and source path here

Which two fields complete the definition? (Choose 2.)