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NEW QUESTION: 1
Scenario
Refer to the topology. Your company has connected the routers R1. R2. and R3 with serial
links. R2 and R3 are connected to the switches SW1 and SW2, respectively. SW1 and
SW2 are also connected to the routers R4 and R5.
The EIGRP routing protocol is configured.
You are required to troubleshoot and resolve the EIGRP issues between the various
routers.
Use the appropriate show commands to troubleshoot the issues.






Why are the pings failing?
A. The network statement is missing on R5.
B. The network statement is missing on R1.
C. The IP address that is configured on the Lo1 interface on R5 is incorrect.
D. The loopback interface is shut down on R5.
Answer: B
Explanation:
R5 does not have a route to the 10.1.1.1 network, which is the loopback0 IP address of R1. When looking at the EIGRP configuration on R1, we see that the 10.1.1.1 network statement is missing on R1.

NEW QUESTION: 2
How would someone train a neutral network?
A. Compare input of network to output of network and back propagate the difference to the input connections layer
B. Calculate the error rate using cognitive dissonance and back propagate errors to the neurons to minimize the error rate
C. Compare results from forward propagation to an error score and update weightings accordingly using back propagation
D. Back propagate the network output through the network and forward propagate errors in order to update relevant weightings
Answer: D

NEW QUESTION: 3
You need to replace the missing data in the AccessibilityToHighway columns.
How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or "Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

NEW QUESTION: 4
Which one of the following four statements regarding the basic Net Interest Income model is INCORRECT?
A. The amount of intermediated funds can be a function of interest rate levels.
B. Assets and liabilities have the same interest rate sensitivities.
C. Net interest income risk does not address the impact of changing interest rates on bank equity value.
D. Effective repricing date can be different than contractual repricing.
Answer: B

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