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An organization oversees a Google BigQuery dataset encompassing tables with user-level data. The organization aims to make aggregated data from these tables accessible to other Google Cloud projects while preserving access control over the detailed user-level data. Moreover, the organization seeks to reduce their overall storage expenses and guarantee that the analysis costs incurred by other projects are allocated to those respective projects. What steps should they take?
A
Create and share an authorized view that provides the aggregate results.
B
Create and share a new dataset and view that provides the aggregate results.
C
Create and share a new dataset and table that contains the aggregate results.
D
Create dataViewer Identity and Access Management (IAM) roles on the dataset to enable sharing.