Which two goals of data normalization are true? (Choose two.)

Eliminating update anomalies is a consequence that results from eliminating redundancy, not an independently stated primary goal of normalization itself.

A core goal of normalization is to ensure each fact is stored in exactly one place, eliminating redundant data and preventing storage waste and update inconsistencies across duplicate fields.

By removing redundancy and enforcing proper dependencies, normalization increases data integrity - ensuring that inserts, updates, and deletes do not leave the database in an inconsistent or contradictory state.

Increasing redundancy is the opposite of normalization - denormalization or replication strategies intentionally add redundancy for performance or availability reasons.

Data availability is addressed through high-availability architectures, clustering, and replication - not through the normalization process.