You need to build a pipeline for an Azure Machine Learning experiment.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation

References:
https://azure.microsoft.com/en-in/blog/experimentation-using-azure-machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-modules

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You create an image classification model in Azure Machine Learning Studio.
You need to deploy the model as a containerized web service.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation

The following diagram illustrates the complete deployment workflow:

The deployment workflow includes the following steps:
* Register the model in a registry hosted in your Azure Machine Learning Service workspace
* Register an image that pairs a model with a scoring script and dependencies in a portable container
* Deploy the image as a web service in the cloud or to edge devices
* Monitor and collect data
* Update a deployment to use a new image.
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/service/concept-model-management-and-deploym

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Your company has factories in 10 countries. Each factory contains several thousand IoT devices.
The devices present status and trending data on a dashboard.
You need to ingest the data from the IoT devices into a data warehouse.
Which two Microsoft Azure technologies should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A.Azure Stream Analytics
• B.Azure Data Factory
• C.an Azure HDInsight cluster
• D.Azure Batch
• E.Azure Data Lake

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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.

• A.Microsoft Visual Studio Code
• B.Azure Notebooks
• C.Azure Machine Learning Studio
• D.Microsoft Visual Studio

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You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
* Email a user the picture and location of an anomaly when an anomaly is detected.
* Use a video stream to detect anomalies at the location.
* Send the pictures and location information to Azure.
* Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for 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.

Correct Answer:

Explanation:
Box 1: Azure IOT Edge
Example:

You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions
Box 3: Azure Logic Apps
References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge

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