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NEW QUESTION: 1
Which feature is available for a virtual machine configured with DirectPath I/O?
A. Fault Tolerance
B. Clone
C. Snapshots
D. DRS
Answer: B
Explanation:
Explanation/Reference:
Explanation:
The following features are unavailable for virtual machines configured with DirectPath:
Hot adding and removing of virtual devices

Suspend and resume

Record and replay

Fault tolerance

High availability

DRS (limited availability. The virtual machine can be part of a cluster, but cannot migrate across hosts)

Snapshots

NEW QUESTION: 2
ソーシャルエンジニアリングに当てはまる3つのステートメントはどれですか？ （3つ選択してください。）
A. ソーシャルエンジニアリングは簡単に発見でき、詐欺を明らかにするために全員の前ですぐに呼び出される必要があります。
B. ソーシャルエンジニアリングは、一見通常の状況または外見を通じて達成され、リソースまたは物理的な場所へのアクセスを取得します。
C. ソーシャルエンジニアリングは、従業員の欲望と不満の感情を活用します。
D. ソーシャルエンジニアリングは、ほとんどの人の「良い性質」と「助けたい」を大部分活用して、必要な情報を取得します。
Answer: B,C,D

NEW QUESTION: 3
The following is a list of statements about stakeholders and stakeholder management.
a.A customer can be considered as a stakeholder in a project.
b.A supplier can be considered as a stakeholder in a project.
c.Stakeholders' positions do not remain static during the life of the project.
d.Communication must not be tailored to each stakeholder in the project.
Which of the following is correct?
A. Statements a and c are correct, statements b and d are incorrect.
B. All four statements are correct.
C. Statements b and c are correct, statements a and d are incorrect.
D. Statements a, b and c are correct, statement d is incorrect.
Answer: D

NEW QUESTION: 4
신제품에 대한 수요, 이러한 요인들 간의 상호 작용 및 이러한 요인의 다른 가치와 관련된 확률로 인해 많은 수의 요인으로 인해 마케팅 부서는이 제품에 대한 수요를 예측하기 위한 컴퓨터화된 모델을 개발하려고 합니다. 난수 프로 시저를 사용하여 여러 요인에 대한 값을 생성하면 이 신제품에 대한 수요 분포를 추정할 수 있습니다. 신제품에 대한 수요 분배를 추정하는 이 방법을 다음과 같이 부릅니다.
A. 선형 프로그래밍.
B. 상관 관계 분석.
C. 미분 분석.
D. Monte Carlo 시뮬레이션.
Answer: D
Explanation:
Simulation is a technique in which a probabilistic process is first modeled. The inputs to the model are then varied a large number of times to estimate the distribution of possible outcomes from the model of the variable of interest. Simulations that use a random-number procedure to generate values for the inputs are referred to as Monte Carlo simulations.