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NEW QUESTION: 1
Amazon Import / Exportとは何ですか？
A. 販売範囲の拡大を支援する国際海運部門
B. データセンターとの間でデータをAWSに移行するためにAmazonが開発したソフトウェア
C. 適切に構成されたサービスロールとインスタンスプロファイル
D. 物理ストレージアプライアンスを使用してAWSとの間で大量のデータを転送することを加速するサービス
Answer: D
Explanation:
AWS Import/Export accelerates transferring large amounts of data between the AWS cloud and portable storage devices that you mail to us. AWS transfers data directly onto and off of your storage devices using Amazon high-speed internal network.
Reference: http://docs.aws.amazon.com/AWSImportExport/latest/DG/whatisIE.html

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. I and IV
B. I, II, III and IV
C. II and III
D. III only
Answer: C
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
Grateway Inc. has a weighted average cost of capital of 11.5 percent. Its target capital structure is 55 percent equity and 45 percent debt. The company has sufficient retained earnings to fund the equity portion of its capital budget. The before-tax cost of debt is 9 percent, and the company's tax rate is 30 percent. If the expected dividend next period and current stock price are $5 and $45, respectively, what is the company's growth rate?
A. 3.44%
B. 6.75%
C. 2.68%
D. 4.64%
E. 8.16%
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Solve for k(s) (component cost of retained earnings or internal equity):
WACC (Weighted Average Cost of Capital) = 11.5% = w(s)k(s) + w(d)k(d)(1 - T)
11.5% = 0.55k(s) + 0.45(0.09)(0.70)
k(s) = 15.75%.
Solve for g: k(s) = 15.75% = D1/P0 + g
15.75% = $5/$45 + g
g = 4.64%.

NEW QUESTION: 4
팀에는 Amazon S3 버킷에 업로드중인 새 객체를 감지하는 애플리케이션이 있습니다. 업로드는 Lambda 함수를 트리거하여 객체 메타 데이터를 Amazon DynamoDB 테이블 및 RDS PostgreSQL 데이터베이스에 씁니다.
고 가용성을 보장하기 위해 팀은 어떤 조치를 취해야 합니까?
A. DynamoDB 테이블에 대한 DynamoDB 스트림을 생성합니다.
B. Amazon S3 버킷에서 교차 리전 복제를 활성화합니다.
C. RDS PostgreSQL 데이터베이스에서 다중 AZ를 활성화합니다.
D. 응용 프로그램이 배포 된 각 가용 영역에 대한 Lambda 함수를 만듭니다.
Answer: C
Explanation:
Explanation
"Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments" https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html