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NEW QUESTION: 1
ワイヤレスエンジニアは、大企業向けの企業ワイヤレスネットワークを最も効率的な方法で実装する必要があります。ワイヤレスネットワークは、異なる部門の300人の従業員に対して32のVLANをサポートする必要があります。
エンジニアはどのソリューションを選択する必要がありますか？
A. 展開内のAPの半分をサポートするように2番目のWLCを構成します。
B. 異なるAPグループを構成して異なるVLANをサポートし、すべてのWLANを両方の無線でブロードキャストできるようにします。
C. 1つのSSIDを構成し、さまざまなユーザーロールに応じてVLAN割り当て用のCisco ISEを実装します。
D. 2.4 GHz帯域でブロードキャストされるように16のWLANを構成し、
5.0 GHz帯域。
Answer: C

NEW QUESTION: 2
Your network contains two subnets. The subnets are configured as shown in the following table.

You have a server named Server2 that runs Windows Server 2012 R2. Server2 is connected to LAN1. You run the route print command as shown in the exhibit.

You need to ensure that Server2 can communicate with the client computers on LAN2.
What should you do?
A. Set the state of the Microsoft ISATAP Adapter #2 interface to disable.
B. Run route delete 172.23.2.0.
C. Change the metric of the 10.10.1.0 route.
D. Set the state of the Teredo interface to disable.
Answer: B
Explanation:
You should delete the route 172.23.2.0 to allow communication between the client computers and Server2. The route is used to identify PIv6 /IPv4 packets that are being sent.

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.
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 analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Calculate the column median value and use the median value as the replacement for any missing value in the column.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Use the Multiple Imputation by Chained Equations (MICE) method.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data