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Kubernetes and Cloud Native Associate
- Exam Number/Code : KCNA
- Exam Name : Kubernetes and Cloud Native Associate
- Questions and Answers : 213 Q&As
- Update Time: 2019-01-10
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NEW QUESTION: 1
サービスへのタイムリーで信頼性の高いアクセスを保証するベストは次のうちどれですか?
A. 可用性
B. 否認防止
C. 真正性
D. 目標復旧時間
Answer: A
Explanation:
説明
参照https://www.isaca.org/Knowledge-Center/Documents/Glossary/glossary.pdf
NEW QUESTION: 2
COSO 기업 위험의 목적과 관련하여 다음 중 어느 것이 맞습니까?
관리 프레임 워크?
1. 프로세스가 진행 중이며 조직 전체에 흐릅니다.
2. 그것은 조직의 사명과 비전의 공식화에 기여합니다.
3. 내부 감사가 조직의
경영진과 이사회.
4. 조직의 리스크 선호도 내에서 리스크를 관리 할 수 있습니다.
A. 1,2 및 4 만
B. 2,3 및 4 만
C. 1,2 및 3 만
D. 1,3 및 4 만
Answer: D
NEW QUESTION: 3
You are solving a classification task.
You must evaluate your model on a limited data sample by using k-fold cross validation. You start by configuring a k parameter as the number of splits.
You need to configure the k parameter for the cross-validation.
Which value should you use?
A. k=5
B. k=0
C. k=1
D. k=0.5
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Leave One Out (LOO) cross-validation
Setting K = n (the number of observations) yields n-fold and is called leave-one out cross-validation (LOO), a special case of the K-fold approach.
LOO CV is sometimes useful but typically doesn't shake up the data enough. The estimates from each fold are highly correlated and hence their average can have high variance.
This is why the usual choice is K=5 or 10. It provides a good compromise for the bias-variance tradeoff.