Which statement regarding stream-static joins and static Delta tables is correct?
Which statement regarding stream-static joins and static Delta tables is correct?
When a microbatch of a stream-static join is processed, the most recent version of the static Delta table is used. This ensures that the data being joined is up-to-date with the latest available information in the static Delta table at the time of processing each microbatch.
B is the right answer as Option B is more typical for stream-static joins, as it provides a consistent static DataFrame snapshot for the entire job's duration. Option A might be suitable in specialized cases where you need real-time updates of the static DataFrame for each microbatch.
Answer is A, When Azure Databricks processes a micro-batch of data in a stream-static join, the latest valid version of data from the static Delta table joins with the records present in the current micro-batch from https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/delta-lake
correct answer is A
Correct answer is A. https://docs.databricks.com/en/structured-streaming/delta-lake.html
A is correct. When Databricks processes a micro-batch of data in a stream-static join, the latest valid version of data from the static
Correct Answer A
correct answer is A