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NEW QUESTION: 1
次のステップのうち、DLDの検出フェーズの一部であるのはどれですか？
A. 調査
B. テスト
C. 実装
D. スコープ
E. 合成
Answer: A,D,E

NEW QUESTION: 2
Which of the following would be the MOST serious risk where a systems development life cycle methodology is inadequate?
A. The project will exceed the cost estimates.
B. The project will be completed late.
C. The project will fail to meet business and user needs.
D. The project will be incompatible with existing systems.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The systems development life cycle (SDLC), also referred to as the application development life-cycle, is a term used in systems engineering, information systems and software engineering to describe a process for planning, creating, testing, and deploying an information system. The systems development life-cycle concept applies to a range of hardware and software configurations, as a system can be composed of hardware only, software only, or a combination of both.
The most important stages of the systems development life cycle are the early requirement gathering and design phases. If the system requirements are not correctly determined, the system will not meet the needs of the business and users.
A: This question is asking for the MOST serious risk. A project completed late is inconvenient but a system that fails to meet business and user needs is a more serious risk.
B: This question is asking for the MOST serious risk. A project that exceeds cost estimates is a pain but a system that fails to meet business and user needs is a more serious risk.
C: This question is asking for the MOST serious risk. A project that is incompatible with existing systems is not good but new systems could be deployed. However, a system that fails to meet business and user needs is no good to anyone.
References:
https://en.wikipedia.org/wiki/Systems_development_life_cycle

NEW QUESTION: 3
For identical mean and variance, which of the following distribution assumptions will provide a higher estimate of VaR at a high level of confidence?
A. A distribution with kurtosis = 8
B. A distribution with kurtosis = 2
C. A distribution with kurtosis = 0
D. A distribution with kurtosis = 3
Answer: A
Explanation:
Explanation
A fat tailed distribution has more weight in the tails, and therefore at a high level of confidence the VaR estimate will be higher for a distribution with heavier tails. At relatively lower levels of confidence however, the situation is reversed as the heavier tailed distribution will have a VaR estimate lower than a thinner tailed distribution.
A higher level of kurtosis implies a 'peaked' distribution with fatter tails. Among the given choices, a distribution with kurtosis equal to 8 will have the heaviest tails, and therefore a higher VaR estimate. Choice 'a' is therefore the correct answer. Also refer to the tutorial about VaR and fat tails.