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NEW QUESTION: 1
You need to create a query that identifies the trending topics.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
From scenario: Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame.
Box 1: TimeStamp
Azure Stream Analytics (ASA) is a cloud service that enables real-time processing over streams of data flowing in from devices, sensors, websites and other live systems. The stream-processing logic in ASA is expressed in a SQL-like query language with some added extensions such as windowing for performing temporal calculations.
ASA is a temporal system, so every event that flows through it has a timestamp. A timestamp is assigned automatically based on the event's arrival time to the input source but you can also access a timestamp in your event payload explicitly using TIMESTAMP BY:
SELECT * FROM SensorReadings TIMESTAMP BY time
Box 2: GROUP BY
Example: Generate an output event if the temperature is above 75 for a total of 5 seconds SELECT sensorId, MIN(temp) as temp FROM SensorReadings TIMESTAMP BY time GROUP BY sensorId, SlidingWindow(second, 5) HAVING MIN(temp) > 75 Box 3: SlidingWindow Windowing is a core requirement for stream processing applications to perform set-based operations like counts or aggregations over events that arrive within a specified period of time. ASA supports three types of windows: Tumbling, Hopping, and Sliding.
With a Sliding Window, the system is asked to logically consider all possible windows of a given length and output events for cases when the content of the window actually changes - that is, when an event entered or existed the window.
NEW QUESTION: 2
Employee data must be synchronized between Application A and Application B whenever an employee data is updated. However, the data format of Application A and B is different so that the employee data must be mediated through a data map. Application A uses a three-letter country code while Application B spells out the country name. (For example, "GBR" in Application A maps to "United Kingdom" in Application B.) The responsible data map must convert the three-letter country code to full country name before sending the employee data from Application A to Application B.
Which of the following actions will BEST accomplish this task?
A. Implement a selector and invoke it from the data map.
B. Use XPath expression to assign the country name.
C. Use Lookup transformation which calls a static relationship.
D. Leave the state field blank, and have Application B to implement a method to convert the country code.
Answer: C
NEW QUESTION: 3
A. Option D
B. Option C
C. Option A
D. Option B
Answer: C
Explanation:
References: https://docs.microsoft.com/en-us/deployoffice/compat/deploy-telemetry-dashboard