AZ-220 · Question #3
Case Study 1 - Contoso Overview A company named Contoso, Ltd. is creating a building monitoring system that will monitor the temperature, humidity, and light level at various points in a building's…
The correct answer is B. GROUP BY TumblingWindow(Second, 30). Scenario: You plan to use a 30-second period to calculate the average temperature reading of Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a…
Question
Options
- AGROUP BY HoppingWindow(Second, 60, 30)
- BGROUP BY TumblingWindow(Second, 30)
- CGROUP BY SlidingWindow(Second, 30)
- DGROUP BY SessionWindow(Second, 30, 60)
How the community answered
(26 responses)- A8% (2)
- B69% (18)
- C19% (5)
- D4% (1)
Explanation
Scenario: You plan to use a 30-second period to calculate the average temperature reading of Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window. Incorrect Answers: A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set. https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
Topics
Community Discussion
No community discussion yet for this question.