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NEW QUESTION: 1
ノーザントレイルアウトフィッターズ（NTO）：
*コンテンツの作成、テスト、メールの送信、Automation Studioのアクティビティの定義、およびオートメーションの作成を担当するメールスペシャリストを採用しています。
*絶対に必要でない限り、カスタムロールを使用しないことをお勧めします。
*メールスペシャリストは複数のビジネスユニットに所属しています。
ベストプラクティスを使用して、コンサルタントはどのようにNTOの役割を作成して割り当てる必要がありますか？
A. アクセス許可を拒否してコンテンツ作成者とデータマネージャーの役​​割を変更し、その役割を '電子メールスペシャリストに割り当てます。
B. コンテンツ作成者ロールの「許可」自動化権限を確認し、それをビジネスユニットに割り当てます。
C. コンテンツ作成者ロールの「許可」自動化権限を確認し、メールスペシャリストに割り当てます
D. 必要な権限を持つカスタムのメールスペシャリストの役割を作成し、それをメールスペシャリストに割り当てます。
Answer: C

NEW QUESTION: 2
When is it recommended to use a middleware solution to integrate SAP CRM with SAP Cloud for
Customer?
There are 2 correct answers to this question. Choose:
A. When the integration is with another SAP application
B. When the integration is based on Web services
C. When prepackaged integration content uses middleware
D. When integration extensibility is a requirement
Answer: C,D

NEW QUESTION: 3
Which of the following statements is true in relation to a normal mixture distribution:
I. The mixture will always have a kurtosis greater than a normal distribution with the same mean and variance II. A normal mixture density function is derived by summing two or more normal distributions III. VaR estimates for normal mixtures can be calculated using a closed form analytic formula
A. I and III
B. II and III
C. I, II and III
D. I and II
Answer: D
Explanation:
Explanation
Normal mixtures have higher peaks, and therefore higher kurtosis than a normal distribution with an equivalent mean and variance. Therefore statement I is correct.
The term 'normal mixture' literally means that - the distribution is derived by summing two or more normal distributions. Statement II is correct. One interesting thing to note about normal mixtures is that their mean and variances are just the weighted averages of the means and variances of their underlying component normal distributions. But their kurtosis is higher than that of either of the components. They are more peaked, and have fatter tails, a property that makes them useful in finance.
Unfortunately there is no analytical formula for calculating VaR based on normal mixtures. However, we can back solve for VaR (using Excel's Solver, for example), given we know the density functions for the underlying normal distributions. Statement III is not correct.