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 expose a Machine Learning model as an Azure web service.
Does this meet the goal?
Your company recently purchased several hundred hardware devices that contains sensors.
You need to recommend a solution to process the sensor data. The solution must provide the ability to write back configuration changes to the devices.
What should you include in the recommendation?
You are building an Azure Analysis Services cube for your Al deployment.
The source data for the cube is located in an on premises network in a Microsoft SQL Server database.
You need to ensure that the Azure Analysis Services service can access the source data.
What should you deploy to your Azure subscription?
You are designing a solution that will ingest data from an Azure loT Edge device, preprocess the data in Azure Machine Learning, and then move the data to Azure HDInsight for further processing.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Your company develops an API application that is orchestrated by using Kubernetes.
You need to deploy the application.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
