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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com that is synced to an Azure Active Directory (Azure AD) tenant named contoso.onmicrosoft.com. The tenant contains only default domain names.
The domain contains the users shown in the following table.
The users have values sets for their user account as shown in the following table.
You plan to enable Azure Multi-Factor Authentication (MFA) by using the following bulk update file named File1.
Username, MFA Status
CN=User1, DC=Contoso, DC=onmicrosoft, DC=com, Enabled
[email protected], Enabled
[email protected], Enabled
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION: 2
決定木アルゴリズムを使用しています。次のツリー深度で一般化するモデルを訓練しました。
10。
さまざまなツリー深度値を持つモデルのバイアスおよび分散プロパティを選択する必要があります。
各ツリーの深さに対してどのプロパティを選択する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
Answer:
Explanation:
Explanation:
In decision trees, the depth of the tree determines the variance. A complicated decision tree (e.g. deep) has low bias and high variance.
Note: In statistics and machine learning, the bias-variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. Increasing the bias will decrease the variance. Increasing the variance will decrease the bias.
References:
https://machinelearningmastery.com/gentle-introduction-to-the-bias-variance-trade-off-in-machine-learning/
NEW QUESTION: 3
Which two options in VCS-C and VCS-E handle presence status for registered endpoints?
(Choose two.)
A. presence proxy
B. presence server
C. back to back user agent
D. presence user agent
E. domain name system
Answer: B,D
NEW QUESTION: 4
A widely used approach that managers use to recognize uncertainty about individual items and to obtain an immediate financial estimate of the consequences of possible prediction errors is:
A. Expected value analysis.
B. Learning curve analysis.
C. Sensitivity analysis.
D. Regression analysis.
Answer: C
Explanation:
Sensitivity analysis determines how a result varies with changes in a given variable or parameter in a mathematical decision model. For example, in a present value analysis, a manager might first calculate the net present value or internal rate of return assuming that a new asset has a 10-year life. The NPV or IRR can then be recalculated using a 5-year life to determine how sensitive the result is to the change in the assumption. An international not for- profit organization finances medical research. The majority of its revenue and support comes from fund-raising activities, investments, and specific grants from an initial sponsoring corporation. The organization has been in operation over 15 years and has a small internal audit department. The organization has just finished a major fundraising drive that raised US $500 million for the current fiscal period. The following are selected data from recent financial statements US dollar figures in millions):