In Aware, which aspects are managed for data products lifecycle?

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Multiple Choice

In Aware, which aspects are managed for data products lifecycle?

Explanation:
In Aware, managing a data product’s lifecycle centers on defining service expectations, assigning ownership, and tracking how the product is used. This means setting SLA expectations so everyone knows the reliability, availability, and data freshness commitments, identifying who is responsible for the data product as its owner, and controlling and recording who consumes the product—whether it’s specific apps or individual users. These elements—service levels, accountability, and usage—together govern how the data product evolves, versioning, access, and ongoing stewardship. Branding or marketing alignment isn’t part of the lifecycle governance for a data product. While performance metrics and uptime relate to service levels, they’re encompassed by the SLA and ownership in a broader picture, not as standalone lifecycle factors. Hardware procurement and licensing are outside the data product’s lifecycle management within Aware.

In Aware, managing a data product’s lifecycle centers on defining service expectations, assigning ownership, and tracking how the product is used. This means setting SLA expectations so everyone knows the reliability, availability, and data freshness commitments, identifying who is responsible for the data product as its owner, and controlling and recording who consumes the product—whether it’s specific apps or individual users. These elements—service levels, accountability, and usage—together govern how the data product evolves, versioning, access, and ongoing stewardship.

Branding or marketing alignment isn’t part of the lifecycle governance for a data product. While performance metrics and uptime relate to service levels, they’re encompassed by the SLA and ownership in a broader picture, not as standalone lifecycle factors. Hardware procurement and licensing are outside the data product’s lifecycle management within Aware.

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