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NEW QUESTION: 1
Amazon SQS와 관련하여 각 메시지는 몇 번이나 수신됩니까?
A. 원하는만큼
B. 적어도 두 번
C. 정확히 한 번
D. 적어도 한 번
Answer: D
Explanation:
설명:
Amazon SQS는 대기열에있는 모든 메시지를 "최소 한 번"전달하도록 설계되었습니다.
대부분의 경우 각 메시지가 애플리케이션에 정확히 한 번 전달되지만 메시지를 두 번 이상 처리해도 오류나 불일치가 발생하지 않도록 시스템을 설계해야 합니다.
https://aws.amazon.com/sqs/faqs/
NEW QUESTION: 2
A network engineer is deploying wireless voice with a 20% overlap at -67dBm. After testing, the cell edge is determined to be 50 feet from the AP. How far away should the next AP be placed?
A. 60 feet
B. 90 feet
C. 70 feet
D. 100 feet
E. 80 feet
Answer: B
NEW QUESTION: 3
You create a new Azure subscription. No resources are provisioned in the subscription.
You need to create an Azure Machine Learning workspace.
What are three possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Run Python code that uses the Azure ML SDK library and calls the Workspace.create method with name, subscription_id, resource_group, and location parameters.
B. Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and -g parameters for the workspace name and resource group.
C. Navigate to Azure Machine Learning studio and create a workspace.
D. Use an Azure Resource Management template that includes a Microsoft.MachineLearningServices/ workspaces resource and its dependencies.
E. Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.
Answer: B,C,D
Explanation:
Explanation
B: You can use an Azure Resource Manager template to create a workspace for Azure Machine Learning.
Example:
{"type": "Microsoft.MachineLearningServices/workspaces",
...
C: You can create a workspace for Azure Machine Learning with Azure CLI Install the machine learning extension.
Create a resource group: az group create --name <resource-group-name> --location <location> To create a new workspace where the services are automatically created, use the following command: az ml workspace create -w <workspace-name> -g <resource-group-name> D: You can create and manage Azure Machine Learning workspaces in the Azure portal.
* Sign in to the Azure portal by using the credentials for your Azure subscription.
* In the upper-left corner of Azure portal, select + Create a resource.
* Use the search bar to find Machine Learning.
* Select Machine Learning.
* In the Machine Learning pane, select Create to begin.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-workspace-template
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace-cli
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-manage-workspace
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