H13-711_V3.5 · Question #366
Flink is a computing framework combining batch processing and stream processing. Its core is a stream data processing engine for data classification and parallel computing.
The correct answer is A. True. A is correct because Apache Flink is indeed a unified computing framework that handles both batch and stream processing, with stream processing as its foundational engine - batch jobs in Flink are treated as a special case of bounded data streams. This "stream-first"…
Question
Flink is a computing framework combining batch processing and stream processing. Its core is a stream data processing engine for data classification and parallel computing.
Options
- ATrue
- BFalse
How the community answered
(30 responses)- A83% (25)
- B17% (5)
Explanation
A is correct because Apache Flink is indeed a unified computing framework that handles both batch and stream processing, with stream processing as its foundational engine - batch jobs in Flink are treated as a special case of bounded data streams. This "stream-first" architecture distinguishes Flink from older systems like Hadoop MapReduce, which was batch-only, or early Spark, which simulated streaming via micro-batches.
B is incorrect because the statement accurately describes Flink's design philosophy; there is nothing false about it.
Memory tip: Think of Flink as "stream everything" - even batch data is just a stream with a start and an end. The name sounds like a quick flicker of data flowing through a pipe, which captures its real-time, streaming-first nature.
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