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NEW QUESTION: 1
개발자가 웹 애플리케이션 백엔드에 대한 Lambda 함수를 작성했습니다. AWS Lambda 콘솔에서 Lambda 함수를 테스트 할 때 개발자는 해당 함수가 실행되고 있음을 알 수 있지만 몇 분 후에도 Amazon CloudWatch Logs에 로그 데이터가 생성되지 않습니다.
이 상황의 원인은 무엇입니까?
A. Lambda 함수에 CloudWatch Logs가 로그 데이터를 전송하는 소스 트리거로 누락되었습니다.
B. Lambda 함수에는 로그 데이터가 CloudWatch Logs로 보낼 로그 데이터에 대한 명시적인 로그 명령문이 없습니다.
C. Lambda 함수에 대상 CloudWatch Log 그룹이 없습니다.
D. Lambda 함수의 실행 역할에 로그 데이터를 CloudWatch Logs에 쓸 수있는 권한이 없습니다.
Answer: D
Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/lambda-monitoring.html
NEW QUESTION: 2
You write code to retrieve an experiment that is run from your Azure Machine Learning workspace.
The run used the model interpretation support in Azure Machine Learning to generate and upload a model explanation.
Business managers in your organization want to see the importance of the features in the model.
You need to print out the model features and their relative importance in an output that looks similar to the following.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: from_run_id
from_run_id(workspace, experiment_name, run_id)
Create the client with factory method given a run ID.
Returns an instance of the ExplanationClient.
Parameters
* Workspace Workspace An object that represents a workspace.
* experiment_name str The name of an experiment.
* run_id str A GUID that represents a run.
Box 2: list_model_explanations
list_model_explanations returns a dictionary of metadata for all model explanations available.
Returns
A dictionary of explanation metadata such as id, data type, explanation method, model type, and upload time, sorted by upload time Box 3: explanation Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-interpret/azureml.contrib.interpret.explanation.expl
NEW QUESTION: 3
A. queue
B. block blob
C. file share
D. append blob
E. page blob
Answer: B,C,D