Intermediate
Big Data & Data Engineering
Q66 / 100
How does Apache Flink's streaming model generally differ from Spark's traditional micro-batch model?
Correct! Well done.
Incorrect.
The correct answer is A) Flink processes events one at a time in a true streaming (continuous) model, often achieving lower latency than micro-batching
A
Correct Answer
Flink processes events one at a time in a true streaming (continuous) model, often achieving lower latency than micro-batching
Explanation
Flink is built around native, continuous event-at-a-time streaming, while Spark traditionally used micro-batches (though Spark has improved with continuous processing options).
Progress
66/100