12 Streaming questions from the Big Data bank, written for Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd.
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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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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
Answer + AI explanation with Pro
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