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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、上記の目標を達成できる独自の解決策が含まれています。 いくつかの質問セットには1つ以上の正しい解決策があるかもしれないが、他の質問セットには正しい解決策がないかもしれない。
このセクションの質問に答えた後。 あなたはそれに戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
次のTransact-SQLステートメントを実行して作成されたテーブルがあります：
Productsテーブルには、次の表に示すデータが含まれています：
TotalUnitPriceは、次の式を使用して計算されます：
TotalUnitPrice = UnitPrice * (UnitsInStock + UnitsOnOrder)
製品の総単価で返される値が600.00になるようにする必要があります。
解決策：次のTransact-SQLステートメントを実行します。
解決策は目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Explanation
The NULL value in the UnitsOnOrder field would cause a runtime error.
NEW QUESTION: 2
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 and IV
B. All of the above
C. I, II and III
D. II and III
Answer: B
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: 3
Which definition is included in a Cisco UC on UCS TRC?
A. storage arrays such as those from EMC or NetApp, if applicable
B. step-by-step procedures for hardware BIOS, firmware, drivers, and RAID setup
C. configuration settings and patch recommendations for VMware software
D. server model and local components (CPU, RAM, adapters, local storage) at the part number level
E. configuration of virtual-to-physical network interface mapping
Answer: E
Explanation:
Explanation/Reference: http://docwiki.cisco.com/wiki/UC_Virtualization_Supported_Hardware#UC_on_UCS_Teste d_Reference_Configurations
NEW QUESTION: 4
Refer to the exhibit.
R1 is connected with R2 via GigabitEthernet0/0, and R2 cannot ping R1. What action will fix the issue?
A. Fix IP Event Dampening configured on the interface.
B. Fix route dampening configured on the router.
C. Replace the SFP module because it is not supported.
D. Correct the IP SLA probe that failed.
Answer: A
Explanation: