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NEW QUESTION: 1
次の展示に示すバックアップを展開することを計画しています。
ドロップダウンを使用して、グラフィックに表示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation
NEW QUESTION: 2
(Ticket 9: EIGRP AS number)
Scenario: The implementation group has been using the test bed to do a 'proof-of-concept' that requires both Client 1 and Client 2 to access the WEB Server at 209.65.200.241. After several changes to the network addressing, routing schemes, DHCP services, layer 2 connectivity, FHRP services, and, device security, a trouble ticket has been opened indicating that Client 1 cannot ping the 209.65.200.241 address.
Figure 1
Figure 2
Trouble Ticket Statement
Client 1 is not able to reach the WebServer. Initial troubleshooting shows that DSW1 can ping the Fa0/1 interface of R4 but not the s0/0/0/0.34 interface.
Configuration on DSW1
router eigrp 10
network 10.1.4.4 0.0.0.0
network 10.2.1.1 0.0.0.0
network 10.2.4.13 0.0.0.0
no auto-summary
Configuration on DSW2
router eigrp 10
network 10.1.4.8 0.0.0.0
network 10.2.2.1 0.0.0.0
network 10.2.4.14 0.0.0.0
no auto-summary
Configuration on R4
router eigrp 1
network 10.1.4.5 0.0.0.0
no auto-summary
redistribute ospf 1
The Fault Condition is related to which technology?
A. HSRP
B. InterVLAN communication
C. EIGRP
D. Switch to Switch Connectivity
E. OSPF
F. BGP
Answer: C
NEW QUESTION: 3
A router has two admin groups defined (GREEN=1 and RED=3). An interface is associated to both admin groups. What value will be shown in the Admin Group sub-TLV for this interface?
A. 0x4
B. 0x10
C. 0xa
D. 0x5
Answer: C
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a model to predict the price of a student's artwork depending on the following variables: the student's length of education, degree type, and art form.
You start by creating a linear regression model.
You need to evaluate the linear regression model.
Solution: Use the following metrics: Mean Absolute Error, Root Mean Absolute Error, Relative Absolute Error, Relative Squared Error, and the Coefficient of Determination.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
The following metrics are reported for evaluating regression models. When you compare models, they are ranked by the metric you select for evaluation.
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Root mean squared error (RMSE) creates a single value that summarizes the error in the model. By squaring the difference, the metric disregards the difference between over-prediction and under-prediction.
Relative absolute error (RAE) is the relative absolute difference between expected and actual values; relative because the mean difference is divided by the arithmetic mean.
Relative squared error (RSE) similarly normalizes the total squared error of the predicted values by dividing by the total squared error of the actual values.
Mean Zero One Error (MZOE) indicates whether the prediction was correct or not. In other words: ZeroOneLoss(x,y) = 1 when x!=y; otherwise 0.
Coefficient of determination, often referred to as R2, represents the predictive power of the model as a value between 0 and 1. Zero means the model is random (explains nothing); 1 means there is a perfect fit. However, caution should be used in interpreting R2 values, as low values can be entirely normal and high values can be suspect.
AUC.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
