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AWS Certified Machine Learning - Specialty

  • Exam Number/Code : AWS-Certified-Machine-Learning-Specialty
  • Exam Name : AWS Certified Machine Learning - Specialty
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
Drag and drop the descriptions of performing an initial device configuration from the left onto the correct features or compnents on the right.

Answer:
Explanation:


NEW QUESTION: 2

A. Option D
B. Option A
C. Option C
D. Option B
Answer: B

NEW QUESTION: 3
Which of the following are valid approaches to calculating potential future exposure (PFE) for counterparty risk:
I. Add a percentage of the notional to the mark-to-market value
II. Monte Carlo simulation
III. Maximum Likelihood Estimation
IV. Parametric Estimation
A. I, III and IV
B. I and II
C. III and IV
D. All of the able
Answer: B
Explanation:
Explanation
When a derivative position is entered into, its mark-to-market value is generally close to zero (though the notional may be high). With the passage of time, the derivative's value fluctuates in an unpredictable way, creating a counterparty exposure that may be difficult to estimate and risk manage. Counterparty risk in such cases is estimated based on Potential Future Exposure, which may be calculated using either:
a) Take the mark-to-market at present, and add a certain percentage of the notional, or b) Perform a Monte Carlo simulation, capturing the stochastic nature of the PFE.
Therefore I and II are valid choices. MLE and parametric estimation are not methods for calculating PFE.