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NEW QUESTION: 1
Company X wants to implement RSVP-based Call Admission Control and move away from the current location-based configuration.
Where does the administrator go to create a default profile?
A. System > Call Manager > Clusterwide > Service Parameters > RSVP
B. System > Service Parameters > Call Manager > Clusterwide parameters > RSVP
C. System > Service Parameters > RSVP
D. on each MGCP gateway at all remote locations
Answer: B

NEW QUESTION: 2
A class is even more unresponsive than usual. The trainer would like to find out what the students are learning. Which of the following is the BEST approach in this situation?
A. Ask students at breaks if they are learning anything.
B. Give the students a paper quiz.
C. Ask the students probing questions by name.
D. Send a message to their managers explaining they are not responding.
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have Azure IoT Edge devices that generate streaming data.
On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.
Solution: You deploy Azure Functions as an IoT Edge module.
Does this meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Instead use Azure Stream Analytics and REST API.
Note. Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:
temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection

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