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You are developing an Extract, Load, Transform (ELT) solution using Dataform in Google BigQuery. As part of the data quality assurance process, it is crucial to ensure the uniqueness and the absence of null values in your final dataset tables. How can you efficiently incorporate these checks within your ELT pipeline?
A
Build BigQuery user-defined functions (UDFs).
B
Create Dataplex data quality tasks.
C
Build Dataform assertions into your code.
D
Write a Spark-based stored procedure.