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NEW QUESTION: 1
You are analyzing a client-server application that has "thick" clients that run on Windows and Android. You come across several Remote Command Execution findings with data originating from several different Sources. The customer you are working with is worried about the developers pushing back on low priority findings, so you need to remove those originating from sources that pose the lowest risk.
Which Sources pose the lowest risk?
A. WebService.performOperation(...)
B. NativeCode.performOperation(...)
C. SqlDB.getValue(...)
D. RPCHandler.performOperation(...)
E. ZipCrypto.extract(...)
Answer: A
NEW QUESTION: 2
You have one disk group containing twenty, 72GB disks with single-level protection. What is the approximate maximum usable size?
A. 1152GB
B. 1296GB
C. 1440GB
D. 1368GB
Answer: B
NEW QUESTION: 3
Scenario: A Citrix Architect is assessing a Provisioning Services farm. The farm has access to one Store; the vDisks in the Store are shown in the Exhibit.
Click the Exhibit button to view the vDisks.
How much RAM should the architect allocate to each of the Provisioning Services servers to optimally cache existing vDisk data while NOT over-provisioning resources?
A. 12 GB
B. 9 GB
C. 17 GB
D. 14 GB
Answer: B
Explanation:
https://docs.citrix.com/en-us/xenapp-and-xendesktop/7-15-ltsr/downloads/handbook-715-ltsr.pdf
https://www.citrix.com/blogs/2013/07/03/pvs-internals-2-how-to-properly-size-your-memory/
NEW QUESTION: 4
Which of the following statements regarding hypothesis testing is false?
A. The power of a test is usually equal to (1 - the probability of a Type II error).
B. If the population standard deviation is unknown, then the standard error of the estimate is found by dividing the sample standard deviation by the square root of "n."
C. If the null hypothesis is rejected, then it is said the result is "not statistically significant."
Answer: C
Explanation:
Remember that when the null hypothesis is rejected, the results of the regression are said to be "statistically significant." In other words, the analyst has enough reason to assume that the results of the analysis are valid at the given level of significance. When the analyst fails to reject the null hypothesis, then the result is said to "not be statistically significant." While this specification may seem excessive, it is nevertheless important. The remaining answers are all correct.
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Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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