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NEW QUESTION: 1
Which of the following is the most accurate concerning the link configuration between Cisco Unified Computing System 22XX I/O modules and Cisco Unified Computing System 62XX Fabric Interconnects?
A. You cannot mix and match discrete links and port channeling for different chassis when using 22XX.
B. Port channels do not require a Global Chassis Discovery policy.
C. Port channels are always recommended
when using source-dest-mac
load balancing.
D. The addition of links to a port channel requires a reacknowledgement.
Answer: C

NEW QUESTION: 2
drag from the left the acceptable minimum cell overlap for data and voice cells for site survey and deployment

Answer:
Explanation:

Explanation
17MHZ Voice
30MHZ DATA

NEW QUESTION: 3
A company notices that. During the last six projects, the scope changed substantially. What should the project manager of a new project do first to reduce the likelihood of scope changes?
A. Ask for management's guidance.
B. Review the project scope statement.
C. Review lessons learned from the previous projects.
D. Plan to mitigate the impact of scope change
Answer: C

NEW QUESTION: 4
For a hypotherical UoM, the number of losses in two non-overlapping datasets is 24 and 32 respectively. The Pareto tail parameters for the two datasets calculated using the maximum likelihood estimation method are 2 and 3. What is an estimate of the tail parameter of the combined dataset?
A. 2.23
B. 2.57
C. Cannot be determined
D. 0
Answer: B
Explanation:
Explanation
For a number of processes, including many in finance, while a distribution such as the normal distribution is a good approximation of the distribution near the modal value of the variable, the same normal distribution may not be a good estimate of the tails. For this reason, the Pareto distribution is one of the distributions that is often used to model the tails of another distribution. Generally, if you have a set of observations, and you discard all observations below a threshold, you are left with what are called 'exceedances'. The threshold needs to be reasonably far out in the tail. If from each value of the exceedances you subtract the threshold value, the resulting dataset is estimated by the generalized Pareto distribution.

The Pareto distribution has a 'shape parameter'. The average of two Pareto distributions with tail parameters 1 and 2 ( is a Greek character, pronounced as 'sai' (saa-eee)), is the weighted average of 1 and 2 with weights proportional to the number of observations in the datasets underlying the distributions.