Question 24
Domain 6:Cost & Performance OptimisationA data engineer needs to reduce latency while working around limitations of streaming tables in a Databricks pipeline. Which feature is specifically intended for this purpose?
Correct answer: A
Explanation
Change Data Feed is used to address certain limitations of streaming tables and to improve latency in data pipelines. — official.txt
Why each option is right or wrong
A. Enable Change Data Feed on the source data
The source material states that Change Data Feed (CDF) is applied to address specific limitations of streaming tables and enhance latency, so enabling CDF is the intended choice in this situation.
B. Replace the pipeline with a standard batch schedule
Batch scheduling is not identified as the feature used to address streaming table limitations and enhance latency.
C. Disable all streaming tables in the workspace
The material points to applying CDF with streaming-related workflows, not disabling streaming tables entirely.
D. Increase the retention period of the source tables
Retention settings are not described as the mechanism for overcoming streaming table limitations or improving latency.