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NEW QUESTION: 1
Which statement is correct about the inet.3 routing table?
A. The inet.3 routing table is used by transit routers to identify label values.
B. MPLS uses the inet.3 routing table to assign labels.
C. BGP can use the inet.3 routing table to resolve next hops.
D. MPLS creates a copy of the mpls.0 table and stores it in the inet.3 routing table.
Answer: C
NEW QUESTION: 2
After enrollment, Android devices are NOT connecting to the XenMobile Server.
What should a Citrix Engineer do to resolve this issue?
A. Modify the authentication policy on the NetScaler Gateway.
B. Configure firewall rules to allow the XenMobile Server to communicate outbound on ports 2195 and
2196.
C. Modify MDX authentication timers.
D. Configure a scheduling policy.
Answer: D
NEW QUESTION: 3
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.
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You have a server named Web1 that runs Windows Server 2016.
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A. No
B. Yes
Answer: A
NEW QUESTION: 4
You are using a decision tree algorithm. You have trained a model that generalizes well at a tree depth equal to
10.
You need to select the bias and variance properties of the model with varying tree depth values.
Which properties should you select for each tree depth? To answer, select the appropriate options in the answer area.
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/
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