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NEW QUESTION: 1
Which of the following CLDC connector modes is used only for data input over a connection?
A. READ
B. WRITE
C. READ_WRITE
Answer: A

NEW QUESTION: 2

A. Yes
B. No
Answer: B
Explanation:
Explanation
Explanation
You can use mobile device mailbox policies to manage many different settings. These include the following:
Require a password
Specify the minimum password length
Require a number or special character in the password
Designate how long a device can be inactive before requiring the user to re-enter a password Wipe a device after a specific number of failed password attempts References: https://technet.microsoft.com/en-us/library/bb123783(v=exchg.160).aspx

NEW QUESTION: 3
기계 학습 팀은 Amazon SageMaker를 사용하여 연구 데이터 세트를 사용하여 Apache MXNet 손으로 쓴 숫자 분류기 모델을 교육합니다. 팀은 모델이 과적 합 될 때 알림을 받기를 원합니다. 감사자는 무단 API 호출이 없는지 확인하기 위해 Amazon SageMaker 로그 활동 보고서를 확인하려고 합니다.
최소한의 코드와 최소한의 단계로 요구 사항을 해결하기 위해 기계 학습 팀은 무엇을 해야 합니까?
A. AWS CloudTrail을 사용하여 Amazon S3에 대한 Amazon SageMaker API 호출을 기록합니다. 사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
B. Amazon S3에 Amazon SageMaker API 호출을 기록하는 AWS Lambda 함수를 구현합니다. 사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
C. AWS CloudTrail을 사용하여 Amazon S3에 대한 Amazon SageMaker API 호출을 기록합니다. 모델이 과적 합할 때 알림을 받도록 Amazon SNS 설정
D. AWS Lambda 함수를 구현하여 Amazon SageMaker API 호출을 AWS CloudTrail에 기록합니다.
사용자 지정 지표를 Amazon CloudWatch에 푸시하는 코드를 추가합니다. Amazon SNS를 사용하여 CloudWatch에서 경보를 생성하여 모델이 과적 합 될 때 알림을 받습니다.
Answer: A
Explanation:
Log Amazon SageMaker API Calls with AWS CloudTrail
https://docs.aws.amazon.com/sagemaker/latest/dg/logging-using-cloudtrail.html