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NEW QUESTION: 1
A. Mantrap
B. Cable locks
C. Biometrics
D. Locked doors
E. Entry control rosters
F. ID badges
Answer: A,D
NEW QUESTION: 2
Your company's client computers run Windows Vista. You are using the Windows Automated Installation Kit (Windows AIK) and Windows Deployment Services (WDS) to prepare and deploy Windows operating systems. You have the following requirements for an in-place migration to Windows 7:
Capture user state on each client computer.
Maintain user state data on the source computer.
Maximize performance.
Minimize hard disk utilization.
You need to ensure that the requirements are met when you perform the in-place migration.
What should you do?
A. Use the ScanState tool with both the /vsc and /o options.
B. Use the ScanState tool with both the /nocompress and /hardlink options.
C. Use the ScanState tool with only the /vsc option.
D. Use the ScanState tool with only the /nocompress option.
Answer: B
Explanation:
http://technet.microsoft.com/en-us/library/dd560781(WS.10).aspx
NEW QUESTION: 3
You are determining if two sets of data are significantly different from one another by using Azure Machine Learning Studio.
Estimated values in one set of data may be more than or less than reference values in the other set of data. You must produce a distribution that has a constant Type I error as a function of the correlation.
You need to produce the distribution.
Which type of distribution should you produce?
A. Paired t-test with a one-tail option
B. Unpaired t-test with a two tail option
C. Paired t-test with a two-tail option
D. Unpaired t-test with a one-tail option
Answer: C
Explanation:
Explanation
Choose a one-tail or two-tail test. The default is a two-tailed test. This is the most common type of test, in which the expected distribution is symmetric around zero.
Example: Type I error of unpaired and paired two-sample t-tests as a function of the correlation. The simulated random numbers originate from a bivariate normal distribution with a variance of 1.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/test-hypothesis-using-t-test
https://en.wikipedia.org/wiki/Student%27s_t-test
NEW QUESTION: 4
When using PERT Program Evaluation Review Technique), the expected time for an activity when given an optimistic time A), a pessimistic time B), and a most likely time m) is calculated by which one of the following formulas?
A. 4 abm) =6
B. b - a) =2
C. a + 4m +b) =6
D. a + b) =2
Answer: C
Explanation:
PERT was developed to aid managers in controlling large, complex projects. PERT analysis includes probabilistic estimates of activity completion times. Three time estimates are made: Optimistic, most likely, and pessimistic. The time estimates for an activity are assumed to approximate a beta probability distribution. PERT approximates the mean of the beta distribution by dividing the sum of the optimistic time, the pessimistic time, and four times the most likely time by six.
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