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NEW QUESTION: 1

less mp-log ikemgr.log:


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

NEW QUESTION: 2
An entity average of inventory US $4,000 in sales per day and is paid on an average within 30 days of the sale. After they receive their invoke, 55% of the customers pay by check, while the remaining 45% pay by credit card. Approximately how much would the entity show in accounts receivable on its balance sheet on any given date?
A. US $120,000
B. US $4,000
C. US $48,000
D. US $54,000
Answer: A
Explanation:
If sales are US $400 per day, and customers pay in 30 days. 30 days of sales are outstanding, or US $120,000. Whether customers pay by credit card or cash collection requires 30 days.

NEW QUESTION: 3
Which of the following assumptions underlie the 'square root of time' rule used for computing VaR estimates over different time horizons?
I. the portfolio is static from day to day
II. asset returns are independent and identically distributed (i.i.d.)
III. volatility is constant over time
IV. no serial correlation in the forward projection of volatility
V. negative serial correlations exist in the time series of returns
VI. returns data display volatility clustering
A. I and II
B. III, IV, V and VI
C. I, II, III and IV
D. I, II, V and VI
Answer: C
Explanation:
Explanation
The square root of time rule can be used to convert, say a 1-day VaR to a 10-day VaR, by multiplying the known number by the square root of time to get the VaR over a different time horizon. However, there are key assumptions that underlie the application of this rule, and statements I to IV correctly state those assumptions.
Statements V and VI are not correct, because the application of the square root of time rule requires the absence of serial correlations, and also the absence of volatility clustering (ie independence). Therefore Choice
'c' is the correct answer.
The square root of time rule is also applied to convert volatility or standard deviation for one period to the volatility for a different time period. Remember that VaR is just a multiple of volatility, and therefore the assumptions that apply to the square root of time rule for VaR also apply to the same rule when used in the context of volatilities or standard deviation.

NEW QUESTION: 4
A DRS cluster with two ESXi 5.x hosts is set to fully automated mode. One host in the cluster is running at 98% CPU utilization. The other host is running at 52% utilization. Upon analysis, it appears that none of the virtual machines are being migrated from the CPU-constrained host, and no recommendations are being generated.
What are the two most likely causes of the problem? (Choose two.)
A. VMware DRS is not set to Fully Automated.
B. The VMkernel port is assigned an incorrect IP adderss.
C. The DRS Migration Threshold is too aggressive.
D. vMotion is not enabled on the VMkernel port.
Answer: B,D

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