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NEW QUESTION: 1
You are implementing Azure Stream Analytics functions.
Which windowing function should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Tumbling
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.
Box 2: Hoppping
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. To make a Hopping window the same as a Tumbling window, specify the hop size to be the same as the window size.
Box 3: Sliding
Sliding window functions, unlike Tumbling or Hopping windows, produce an output only when an event occurs. Every window will have at least one event and the window continuously moves forward by an E (epsilon). Like hopping windows, events can belong to more than one sliding window.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions
NEW QUESTION: 2
Drag and Drop Question
Answer:
Explanation:
NEW QUESTION: 3
The following SAS program is submitted:
data work.retail;
cost = '20000';
total= .10* cost
run;
What is the result?
A. The value of the variable TOTAL in the output data set is missing. An error message is written to the SAS log.
B. The value of the variable TOTAL in the output data set is 2000. A note that conversion has taken place is written to the SAS log.
C. The variable TOTAL in the output data set has no value. The program fails to execute due to a syntax error.
D. The value of the variable TOTAL in the output data set is 2000. No messages are written to the SAS log.
Answer: B