Your company plans to deploy an Artificial Intelligence (AI) solution in Azure.
What should the company use to build, test, and deploy predictive analytics solutions?
Click on the arrows to vote for the correct answer
A. B. C. D.B
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create machine learning models.
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designerThe correct answer is B. Azure Machine Learning Designer.
Azure Machine Learning Designer is a cloud-based platform for building, testing, and deploying predictive analytics solutions. It provides a drag-and-drop interface that allows data scientists and developers to create machine learning models without having to write any code.
With Azure Machine Learning Designer, you can:
Build machine learning models: Azure Machine Learning Designer provides a library of pre-built machine learning algorithms, which can be used to build a variety of predictive models. You can also upload your own data and use it to train your models.
Test machine learning models: Once you've built your model, you can test it using your own data or sample data provided by Azure Machine Learning Designer.
Deploy machine learning models: Azure Machine Learning Designer provides several deployment options, including Azure Container Instances and Azure Kubernetes Service, which allow you to deploy your models at scale.
Azure Logic Apps is a cloud-based service that provides workflow automation and integration with other services. While it can be used in conjunction with Azure Machine Learning Designer to automate workflows, it is not specifically designed for building, testing, and deploying predictive analytics solutions.
Azure Batch is a cloud-based service for running large-scale parallel and batch compute jobs. While it can be used to run machine learning models in parallel, it is not specifically designed for building, testing, and deploying predictive analytics solutions.
Azure Cosmos DB is a globally distributed, multi-model database service for building highly available and scalable applications. While it can be used to store and manage data for machine learning models, it is not specifically designed for building, testing, and deploying predictive analytics solutions.
The correct answer is C, a File service in a storage account.
Explanation: Mapping a network drive from several computers that run Windows 10 to Azure Storage requires creating a storage solution in Azure that can be accessed by these computers as if it were a local drive.
Azure Storage provides several services, including Blob, File, Queue, and Table storage.
Blob storage is designed to store unstructured data, such as text and binary data, and is accessed through REST APIs. It does not provide the ability to map a network drive.
Table storage is a NoSQL key-value store that is used to store large amounts of structured data, such as logs and telemetry data. It also does not provide the ability to map a network drive.
Queue storage is used to store messages that can be accessed by multiple clients. It does not provide the ability to map a network drive.
File storage is designed to store and share files using the industry-standard Server Message Block (SMB) protocol, which enables users to access files in a similar way to a local file share. It is the appropriate solution to create a mapped drive to Azure Storage for Windows 10 computers.
Therefore, the correct answer is C, a File service in a storage account.