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?

You need to build an interactive website that will accept uploaded images, and then ask a series of predefined questions based on each image.
Which services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You need to design the workflow for an Azure Machine Learning solution. The solution must meet the following requirements:
Retrieve data from file shares, Microsoft SQL Server databases, and Oracle databases that in an on-premises network.
Use an Apache Spark job to process data stored in an Azure SQL Data Warehouse database.
Which service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service 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.

You are designing an AI application that will use an azure Machine Learning Studio experiment.
The source data contains more than 200 TB of relational tables. The experiment will run once a month.
You need to identify a data storage solution for the application. The solution must minimize compute costs.
Which data storage solution should you identify?

You plan to design an application that will use data from Azure Data Lake and perform sentiment analysis by using Azure Machine Learning algorithms.
The developers of the application use a mix of Windows- and Linux-based environments. The developers contribute to shared GitHub repositories.
You need all the developers to use the same tool to develop the application.
What is the best tool to use? More than one answer choice may achieve the goal.