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NEW QUESTION: 1
범위 검증은 주로 다음 중 어느 것과 관련이 있습니까?
A. 작업 산출물의 정확성.
B. 범위 설명 승인.
C. 작업 산출물의 수락.
D. 작업 분류 체계의 정확성.
Answer: C

NEW QUESTION: 2
You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure Machine Learning SDK.
You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local compute.
You define a DataReference object by running the following code:

You need to load the training data.
Which code segment should you use?


A. Option C
B. Option A
C. Option D
D. Option B
E. Option E
Answer: E
Explanation:
Explanation
Example:
data_folder = args.data_folder
# Load Train and Test data
train_data = pd.read_csv(os.path.join(data_folder, 'data.csv'))
Reference:
https://www.element61.be/en/resource/azure-machine-learning-services-complete-toolbox-ai

NEW QUESTION: 3
VM4의 기술 요구 사항을 충족해야 합니다.
무엇을 만들고 구성해야 합니까?
A. Azure Logic 앱
B. Azure 서비스 버스
C. Azure 알림 허브
D. Azure Event Hub
Answer: D
Explanation:
설명
시나리오 : VM4 설정이 수정 될 때 이메일 메시지를 전송하는 워크 플로우를 작성하십시오.
Azure 리소스 또는 타사 리소스에서 특정 이벤트가 발생하면 자동화된 논리 앱 워크 플로를 시작할 수 있습니다. 이러한 리소스는 해당 이벤트를 Azure 이벤트 표에 게시할수 있습니다. 또한 이벤트 그리드는 해당 이벤트를 큐, 웹 후크 또는 이벤트 허브가 엔드 포인트 인 가입자에게 푸시합니다. 가입자는 로직 앱이 코드를 작성하지 않고도 자동화된 워크 플로를 실행하기 전에 이벤트 그리드에서 해당 이벤트를 기다렸다가 작업을 수행할수 있습니다.
참고 문헌 :
https://docs.microsoft.com/en-us/azure/event-grid/monitor-virtual-machine-changes-event-grid-logic-app

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