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NEW QUESTION: 1
A customer needs to collect a support dump from its appliance, but when the customer attempts to save the support dump to a USB drive, no valid USB drive displays as available in the HPE Synergy Management Console.
Which action should the Synergy integrator propose to the customer?
A. Verify that the USB being used in no larger than 4GB.
B. Format the USB drive on a computer prior to collecting the support dump.
C. Enable the compute module to format the USB drive prior to collecting the support dump.
D. Insert the USB drive in any of the compute nodes.
Answer: B

NEW QUESTION: 2
Which of the following statements are true:
I. Heavy tailed parametric distributions are a good choice for severity modeling in operational risk.
II. Heavy tailed body-tail distributions are a good choice for severity modeling in operational risk.
III. Log-likelihood is a means to estimate parameters for a distribution.
IV. Body-tail distributions allow modeling small losses differently from large ones.
A. II and III
B. II, III and IV
C. All of the above
D. I and IV
Answer: C
Explanation:
Explanation
When modeling for operational risk, we are generally concerned with tail losses - this is because the horizon for operational risk is 1 year at the 99.9th percentile. Since the 99.9th percentile is in the tail region, we would like to ensure that the tails are modeled as accurately as possible. Operational risk distributions are modeled using heavy tailed distributions.
Heavy tailed parametric distributions such as log-normal, pareto and others are therefore a good choice for modeling risk severity, therefore statement I is correct.
Body-tail distributions are combinations of parametric distributions, with different types of distributions being used to model the body and the tail - this provides flexibility because small and medium losses upto a threshold can be modeled using one distribution, and losses beyond the threshold can be modeled using a different distribution that is a better estimate of the tail. Statement II is therefore correct.
A log-likelihood function simplifies the optimization of a regular likelihood function. We generally maximize (or minimize the risk functional) a likelihood function with a view to estimating the parameters of the underlying distribution. If the likelihood function is complex, it may sometimes make it mathematically easier to optimize the log of the function - as that changes exponents and multiplications to additions, while behaving in the same way as the underlying function. Therefore statement III is correct, log-likelihood is a means to estimate parameters for a distribution.
Statement IV is correct as body-tail distributions allow modeling different parts of the distribution differently from each other.

NEW QUESTION: 3
What is an accurate statement about a software RAID implementation?
A. Supports the upgrade of RAID software on incompatible O/S
B. Uses CPU cycles of a compute system to perform RAID calculations
C. Uses a specialized hardware controller to perform RAID calculations
D. Supports all RAID levels
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
You need to recommend a solution to synchronize Database2 to App1_Db1.
What should you recommend?
A. Master Data Services
B. Snapshot replication
C. Transactional replication
D. Change data capture
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Scenario:
* Data from Database2 will be accessed periodically by an external application named Application1. The data from Database2 will be sent to a database named App1_Db1 as soon as changes occur to the data in Database2.
* All data in Database2 is recreated each day and does not change until the next data creation process.
Reference:
Transactional Replication