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NEW QUESTION: 1
Given:
What is the result?
A. Welcome Log 2:1
B. Hello Log 2:1
C. Welcome Log 1:0
D. Hello Log 1:0
Answer: A
NEW QUESTION: 2
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: 3
A company maintains an Azure storage account. The storage account uses blobs and tables.
Customers access the storage account by using shared access signatures (SASs).
You need to monitor the usage of the storage services. You need to do the following:
Which three data analysis tasks should you perform? Each correct answer presents part of the solution.
A. Use data from the logs of the storage services to calculate aggregate server latency across individual requests. Determine whether the results of this calculation indicate that the Azure Storage service is in compliance with the SLA.
B. Analyze the logs of the storage services to determine which storage services were inaccessible because of permissions issues.
C. Use data from the logs of the storage services to find individual storage access attempts that do not comply with the SLA.
D. Review the Azure documentation to determine which storage operations are billable. Then find records of those operations in the logs of the storage services.
E. Correlate the data logged from the storage service with the permissions to store data in the individual blobs and containers. Determine which storage services were inaccessible because of permissions issues.
F. Analyze the logs of the storage services to find records of operations that are marked as billable.
Answer: A,B,D