Final answer:
The Sliding Window operation in Spark enables time-based operations on streaming data.
Step-by-step explanation:
The significance of the Sliding Window operation in Spark is d. Sliding Window enables time-based operations on streaming data in Spark.
Sliding Window is a technique used in stream processing to perform calculations and computations on a subset of data within a specific time window. It allows us to analyze and process data in near real-time, keeping track of the most recent data points within the window.
For example, in a streaming application that processes stock market data, a Sliding Window operation with a window size of 5 minutes can be used to calculate moving averages of stock prices, which can be valuable for making investment decisions.