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NEW QUESTION: 1
기계 학습 엔지니어가 Amazon SageMaker Linear Learner 알고리즘을 사용하여 지도 학습 작업을 위한 데이터 프레임을 준비하고 있습니다. ML 엔지니어는 대상 레이블 클래스가 매우 불균형하고 여러 특성 열에 누락 된 값이 있음을 확인합니다. 전체 데이터 프레임에서 누락 된 값의 비율은 5 % 미만입니다.
ML 엔지니어는 누락 된 값으로 인한 편향을 최소화하기 위해 무엇을 해야 합니까?
A. 각 기능에 대해 다른 기능을 기반으로지도 학습을 사용하여 결 측값을 근사화합니다.
B. 각 결 측값을 동일한 행의 결 측값이 아닌 값의 평균 또는 중앙값으로 바꿉니다.
C. 각 결 측값을 동일한 열의 결 측값이 아닌 값의 평균 또는 중앙값으로 바꿉니다.
D. 결 측값이 포함 된 관측치는 데이터의 5 % 미만을 나타내므로 삭제합니다.
Answer: A
Explanation:
Use supervised learning to predict missing values based on the values of other features. Different supervised learning approaches might have different performances, but any properly implemented supervised learning approach should provide the same or better approximation than mean or median approximation, as proposed in responses A and C.
Supervised learning applied to the imputation of missing values is an active field of research.

NEW QUESTION: 2
AWS CloudFormation의 순환 종속성은 무엇입니까?
A. 리소스가 Depend On 루프를 형성 할 때.
B. 중첩 스택이 서로 의존 할 때.
C. 템플릿이 원래 템플릿을 참조하는 영역을 참조하는 경우
D. 템플릿이 이전 버전의 자체를 참조하는 경우
Answer: A
Explanation:
설명
종속성 오류를 해결하려면 템플리트의 다른 자원에 종속 된 자원에 Depends On 속성을 추가하십시오. 경우에 따라 AWS CloudFormation이 올바른 순서로 리소스를 생성하거나 삭제할 수 있도록 종속성을 명시 적으로 선언해야 합니다. 예를 들어, 동일한 스택에 인터넷 게이트웨이가 있는 탄력적 IP 및 VPC를 생성하는 경우 탄력적 IP는 인터넷 게이트웨이 연결에 의존해야합니다. 자세한 내용은 속성에 따라 다름을 참조하십시오.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/troubleshooting.html#troubleshooting-error

NEW QUESTION: 3
Microsoft 365サブスクリプションがあります。
Advanced Threat Protection（ATP）安全な添付ファイルポリシーを作成します。
検疫内の添付ファイルの保持期間を構成する必要があります。
どのタイプの脅威管理ポリシーを作成する必要がありますか？
A. スパム対策
B. ATPアンチフィッシング
C. DKIM
D. マルウェア対策
Answer: D

NEW QUESTION: 4
HOTSPOT
A company creates an Azure worker role to manage products. The number of customers who inquire about how many products are in inventory rapidly increases. You need to ensure that the worker role can scale to accommodate the increased workload.
How should you complete the relevant code? To answer, select the appropriate option or options in the answer area.

Answer:
Explanation:

Example code:
autoscaler
EnterpriseLibraryContainer.Current.GetInstance<Autoscaler>();
autoscaler.Start();
References: https://msdn.microsoft.com/en-us/library/hh680914(v=pandp.50).aspx