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NEW QUESTION: 1
A customer's computer was turned off overnight, When the customer restarts the computer, an advanced startup menu is displayed.
The startup repair option is unsuccessful and causes the computer to reboot repeatly untill the advanced startup screen reappears. Which of the following should a technician attempt FIRST?
A. Reset the PC.
B. Refresh the PC.
C. Run System Restore.
D. Perform System image Recovery.
E. Go back to the previous build.
Answer: C

NEW QUESTION: 2
어떤 Amazon 53 기능 집합이 우발적인 데이터 손실을 방지하고 복구하는데 도움이 됩니까?
A. 액세스 제어 및 서버 측 암호화
B. 개체 수명주기 및 서비스 액세스 로깅
C. 객체 버전 관리 및 다중 요소 인증
D. 웹 사이트 호스팅 및 Amazon S3 정책
Answer: C

NEW QUESTION: 3
Which of the following are valid methods for selecting an appropriate model from the model space for severity estimation:
I. Cross-validation method
II. Bootstrap method
III. Complexity penalty method
IV. Maximum likelihood estimation method
A. I, II and III
B. I and IV
C. II and III
D. All of the above
Answer: D
Explanation:
Explanation
Once we have a number of distributions in the model space, the task is to select the "best" distribution that is likely to be a good estimate of true severity. We have a number of distributions to pick from, an empirical dataset (from internal or external losses), and we can estimate the parameters for the different distributions.
We then have to decide which distribution to pick, and that generally requires considering both approximation and fitting errors.
There are three methods that are generally used for selecting a model:
1. The cross-validation method: This method divides the available data into two parts - the training set, and the validation set (the validation set is also called the 'testing set'). Parameter estimation for each distribution is done using the training set, and differences are then calculated based on the validation set. Though the temptation may be to use the entire data set to estimate the parameters, that is likely to result in what may appear to be an excellent fit to the data on which it is based, but without any validation. So we estimate the parameters based on one part of the data (the training set), and check the differences we get from the remaining data (the validation set).
2. Complexity penalty method: This is similar to the cross-validation method, but with an additional consideration of the complexity of the model. This is because more complex models are likely to produce a more exact fit than simpler models, this may be a spurious thing - and therefore a 'penalty' is added to the more complex models as to favor simplicity over complexity. The 'complexity' of a model may be measured by the number of parameters it has, for example, a log-normal distribution has only two parameters while a body-tail distribution combining two different distributions may have many more.
3. The bootstrap method: The bootstrap method estimates fitting error by drawing samples from the empirical loss dataset, or the fit already obtained, and then estimating parameters for each draw which are compared using some statistical technique. If the samples are drawn from the loss dataset, the technique is called a non-parametric bootstrap, and if the sample is drawn from an estimated model distribution, it is called a parametric bootstrap.
4. Using goodness of fit statistics: The candidate fits can be compared using MLE based on the KS distance, for example, and the best one selected. Maximum likelihood estimation is a technique that attempts to maximize the likelihood of the estimate to be as close to the true value of the parameter. It is a general purpose statistical technique that can be used for parameter estimation technique, as well as for deciding which distribution to use from the model space.
All the choices listed are the correct answer.

NEW QUESTION: 4
When multiple Cisco Extension Mobility profiles exist, which actions take place when a user tries to log in to Cisco Extension Mobility?
A. The user must login to both profiles in the order they are presented.
B. The login will fail because only a single Cisco Extension Mobility profile is allowed.
C. The user may login to both profiles in any order.
D. The user must select the desired profile.
E. Login will only be allowed to multiple profiles if the service parameter Allow Multiple Logins is enabled.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Users access Cisco Extension Mobility by pressing the Services or Applications button on a Cisco Unified IP Phone and then entering login information in the form of a Cisco Unified Communications Manager UserID and a Personal Identification Number (PIN). If a user has more than one user device profile, a prompt displays on the phone and asks the user to choose a device profile for use with Cisco Extension Mobility.