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NEW QUESTION: 1
Siehe Ausstellung. Welche Aktion führen die Switches auf der Trunk-Verbindung aus?
A. Die Trunk-Formulare, aber VLAN 99 und VLAN 999 sind heruntergefahren.
B. Der Trunk wird nicht gebildet, aber VLAN 99 und VLAN 999 dürfen die Verbindung durchlaufen.
C. Die Trunk-Formulare, aber die nicht übereinstimmenden nativen VLANs werden in einer einzelnen Broadcast-Domäne zusammengeführt.
D. Der Trunk wird nicht gebildet und die Ports werden in den Status "Fehler deaktiviert" versetzt.
Answer: C
Explanation:
The trunk still forms with mismatched native VLANs and the traffic can actually flow between mismatched switches. But it is absolutely necessary that the native VLANs on both ends of a trunk link match; otherwise a native VLAN mismatch occurs, causing the two VLANs to effectively merge. For example with the above configuration, SW1 would send untagged frames for VLAN 999. SW2 receives them but would think they are for VLAN 99 so we can say these two VLANs are merged.
NEW QUESTION: 2
Refer to the exhibit. The enterprise has decided to use the network address 172.16.0.0. The network administrator needs to design a classful addressing scheme to accommodate the three subnets, with 30,
40, and 50 hosts, as shown. Which subnet mask would accommodate this network?
A. 255.255.255.192
B. 255.255.255.252
C. 255.255.255.224
D. 255.255.255.240
E. 255.255.255.248
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Subnet mask A i.e. 255.255.255.192 with CIDR of /26 which means 64 hosts per subnet which are sufficient to accommodate even the largest subnet of 50 hosts.
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 using Azure Machine Learning Studio to perform feature engineering on a dataset.
You need to normalize values to produce a feature column grouped into bins.
Solution: Apply an Entropy Minimum Description Length (MDL) binning mode.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Entropy MDL binning mode: This method requires that you select the column you want to predict and the column or columns that you want to group into bins. It then makes a pass over the data and attempts to determine the number of bins that minimizes the entropy. In other words, it chooses a number of bins that allows the data column to best predict the target column. It then returns the bin number associated with each row of your data in a column named <colname>quantized.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
NEW QUESTION: 4
Wann kann eine Problemumgehung frühestens im Problemmanagement dokumentiert werden?
A. Nachdem das Problem analysiert wurde
B. Nachdem das Problem behoben wurde
C. Nachdem das Problem priorisiert wurde
D. Nachdem das Problem protokolliert wurde
Answer: A