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NEW QUESTION: 1
What is the function of the following AWS Key Management Service (KMS) key policy attached to a customer master key (CMK)?

A. The ExampleUser principal can transparently encrypt and decrypt email exchanges specifically between ExampleUser and AWS.
B. The CMK is to be used for encrypting and decrypting only when the principal is ExampleUser and the request comes from WorkMail or SES in the specified region.
C. The Amazon WorkMail and Amazon SES services have delegated KMS encrypt and decrypt permissions to the ExampleUser principal in the 111122223333 account.
D. The key policy allows WorkMail or SES to encrypt or decrypt on behalf of the user for any CMK in the account.
Answer: B

NEW QUESTION: 2
Which of the following statements is true in respect of different approaches to calculating VaR?
I. Linear or parametric VaR does not take correlations into account
II. For large portfolios with little or no optionality or other non-linear attributes, parametric VaR is an efficient approach to calculating VaR III. For large portfolios with complex sources of risk and embedded optionalities, the full revaluation method of calculating VaR should be preferred IV. Delta normal local revaluation based VaR is suitable for fixed income and option portfolios only
A. II and III
B. III only
C. I, II, III and IV
D. I and IV
Answer: A
Explanation:
Explanation
This question is different in that it uses terminology you will not find in the PRMIA handbook. Yet it is important to understand these as there may be a question based on this slightly different terminology. (It is only the terminology that is different, the concepts are the same.) If you read the PRMIA handbook, there are three methods of calculating VaR: Analytical or parametric, historical simulation and Monte Carlo simulations. There is one more way of categorizing the methods of calculating VaR, and these are as follows:
1. Local valuation: This refers to analytical or parametric VaR. This relies upon a neat statistical formula to calculate VaR and assumes a normal distribution. It also relies upon a known covariance matrix between the different components of VaR. Local valuation based VaR is further subdivided into two types:
a. Linear VaR: Linear VaR is calculated assuming the portfolio is linear, and its value changes just based upon the delta of the portfolio. In such cases, once a change (eg, in stock values) is known, that change is multiplied by the delta alone to get the VaR. Second order effects, such as gamma or convexity are ignored.
b. Non-linear VaR: Non linear analytical VaR is calculated using both delta and the second derivative, ie gamma or the convexity. This is more accurate if the portfolio is non-linear.
The key thing about 'local revaluation' VaR is that it does not require us to reprice or completely value all instruments in the portfolio. All we have to know is the delta (or the gamma and convexity as well) and multiply that with the number of standard deviations of change in the risk factor that we are interested in. So if we are considering a bond, we don't have to recalculate the new value of the bond as we can just use the delta.
This can be a significant computational advantage for a large financial institution where there may be a large number of positions.
2. Full revaluation: This refers to a VaR method where the asset in question is fully repriced based on the new value of the risk factor - and this includes both historical and Monte Carlo based VaR methods.
Local revaluation, or analytical method based VaR is computationally easier to calculate, specially if based on just the delta-normal method (ie ignoring second order effects from convexity or gamma). But it will give incorrect results if the portfolio includes substantial non-linearity or other complexities. The full revaluation methods will always give the correct results, but they can be computationally difficult to arrive at.
Statement I is completely inaccurate - local revaluation methods do take correlations into account through the correlation or covariance matrices. Statement IV is false too - the 'delta normal' VaR refers to Var calculations based upon just the delta and do not account for the convexity or optionality. Statements II and III are correct.
Therefore Choice 'c' is the correct answer.

NEW QUESTION: 3
Bill Turner is a security analyst for Secure-Invest Inc. The firm has concerns about the equal borrowing and lending rate assumption made by the traditional capital asset pricing model (CAPM), and, instead, tells Turner to use the zero-beta CAPM when selecting assets. Turner finds that the return on the zero-beta portfolio exceeds the risk-free rate. Which of the following most accurately describes the effect of relaxing the equal borrowing and lending assumption?
A. The slope of the security market line will increase.
B. The slope of the security market line will decrease.
C. The slope of the security market line will stay the same.
Answer: B

NEW QUESTION: 4
Doug는 AWS 계정에서 CIDR 10.201.0.0/16을 사용하여 VPC를 생성했습니다. 이 VPC에서 CIDR 블록 10.201.31.0/24를 사용하여 퍼블릭 서브넷을 생성했습니다. 콘솔에서 새 EC2를 시작하는 동안 개인 IP 주소 10.201.31.6을이 인스턴스에 할당 할 수 없습니다. 이 문제의 가장 큰 이유는 무엇입니까?
A. 개인 주소 IP 10.201.31.6이 현재 다른 인터페이스에 할당되어 있습니다.
B. 프라이빗 IP 주소 10.201.31.6은 IP 네트워킹을 위해 Amazon에 예약되어 있습니다.
C. 프라이빗 IP 주소 10.201.31.6은 플랫폼 보안의 일부로 Amazon 인프라의 ACL을 통해 차단됩니다.
D. 개인 IP 주소 10.201.31.6은 연결된 서브넷의 IP 주소 범위에 속하지 않습니다.
Answer: A
Explanation:
설명:
Amazon VPC에서 프라이빗 IP 주소는 다음과 같은 경우 인스턴스에 할당 할 수 있습니다.
연결된 서브넷 IP 주소 범위의 일부
IP 네트워킹 목적으로 Amazon에서 예약하지 않음
현재 다른 인터페이스에 할당되지 않았습니다
http://aws.amazon.com/vpc/faqs/