 Stream processing has access to the most recent data received or data within a rolling time window. → Yes

 Batch processing must occur immediately and have latency in the order of seconds or milliseconds. → No

 Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages. → Yes

Comprehensive Detailed Explanation

Stream processing has access to the most recent data received or data within a rolling time window.

Correct.

Stream processing handles real-time or near real-time data.

It operates on a continuous data stream and often uses a rolling time window for analytics.

Answer: Yes

Batch processing must occur immediately and have latency in the order of seconds or milliseconds.

Incorrect.

Batch processing is designed for large volumes of data collected over time.

It typically has high latency (minutes, hours, or even days), not immediate execution.

Answer: No

Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages.

Correct.

Common stream analytics tasks include event-driven responses, real-time aggregations, anomaly detection, and rolling averages.

Answer: Yes

Correct Answers:

Yes

No

Yes

Microsoft References

Batch vs. Stream processing in Azure

Azure Stream Analytics overview