1. What is batch vs stream ? Junior A. when an event occurred vs when the system processes it B. bounding state by dropping event-time data later than a threshold C. Flink is true record-at-a-time streaming; Spark uses micro-batches D. batch processes bounded data at rest; streaming processes an unbounded event flow
2. Which term means: "batch processes bounded data at rest; streaming processes an unbounded event flow"? Junior A. watermarking B. event time vs processing time C. batch vs stream D. Flink vs Spark Streaming
3. Which statement is correct? Junior A. batch vs stream — when an event occurred vs when the system processes it B. batch vs stream — bounding state by dropping event-time data later than a threshold C. batch vs stream — batch processes bounded data at rest; streaming processes an unbounded event flow D. batch vs stream — Flink is true record-at-a-time streaming; Spark uses micro-batches
4. What is watermarking ? Mid A. batch processes bounded data at rest; streaming processes an unbounded event flow B. bounding state by dropping event-time data later than a threshold C. when an event occurred vs when the system processes it D. Flink is true record-at-a-time streaming; Spark uses micro-batches
5. Which term means: "bounding state by dropping event-time data later than a threshold"? Mid A. event time vs processing time B. Flink vs Spark Streaming C. batch vs stream D. watermarking
6. Which statement is correct? Mid A. watermarking — Flink is true record-at-a-time streaming; Spark uses micro-batches B. watermarking — when an event occurred vs when the system processes it C. watermarking — batch processes bounded data at rest; streaming processes an unbounded event flow D. watermarking — bounding state by dropping event-time data later than a threshold
7. What is event time vs processing time ? Mid A. bounding state by dropping event-time data later than a threshold B. batch processes bounded data at rest; streaming processes an unbounded event flow C. Flink is true record-at-a-time streaming; Spark uses micro-batches D. when an event occurred vs when the system processes it
8. Which term means: "when an event occurred vs when the system processes it"? Mid A. event time vs processing time B. watermarking C. Flink vs Spark Streaming D. batch vs stream
9. Which statement is correct? Mid A. event time vs processing time — Flink is true record-at-a-time streaming; Spark uses micro-batches B. event time vs processing time — when an event occurred vs when the system processes it C. event time vs processing time — bounding state by dropping event-time data later than a threshold D. event time vs processing time — batch processes bounded data at rest; streaming processes an unbounded event flow
10. What is Flink vs Spark Streaming ? Mid A. bounding state by dropping event-time data later than a threshold B. Flink is true record-at-a-time streaming; Spark uses micro-batches C. batch processes bounded data at rest; streaming processes an unbounded event flow D. when an event occurred vs when the system processes it
11. Which term means: "Flink is true record-at-a-time streaming; Spark uses micro-batches"? Mid A. event time vs processing time B. watermarking C. batch vs stream D. Flink vs Spark Streaming
12. Which statement is correct? Mid A. Flink vs Spark Streaming — when an event occurred vs when the system processes it B. Flink vs Spark Streaming — Flink is true record-at-a-time streaming; Spark uses micro-batches C. Flink vs Spark Streaming — batch processes bounded data at rest; streaming processes an unbounded event flow D. Flink vs Spark Streaming — bounding state by dropping event-time data later than a threshold