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NEW QUESTION: 1
Refer the exhibit.
Wireless voice users on VLAN 2150 report poor voice quality during heavy network usage.The WLC is configured correctly.Given the configuration in the exhibit,which possible cause of the problem is true?
A. VLAN 2150 is not allowed on the trunkport of the switch
B. MLSQoS is not enabled on the switch.
C. The wireless voice VLAN does not have the proper QoS settings.
D. The WLC switch port dose not trust CoS values for Voice traffic that traverses the WLC
Answer: D
NEW QUESTION: 2
Your network contains an Active Directory domain. The domain contains 1000 user accounts. You have a
list that contains the mobile phone number of each user
You need to add the mobile number of each user to Active Directory.
What should you do?
A. Create a file that contains the mobile phone numbers, and then run ldifde.exe
B. From Active Directory Users and Computers, select all of the users, and then modify the properties of the users.
C. From Adsiedit, select the CN=Users container, and then mofify the properties of the container.
D. Create a fila that contains the mobile phone numbers, and then run csvde.exe
Answer: A
NEW QUESTION: 3
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Regression
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION: 4
HOTSPOT
You have an Exchange Server 2013 organization.
You need to create a single transport rule that prevents users in a group named Group1 from exchanging messages with users in a group named Group2.
Which two options should you use?
To answer, select the two appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Transport rule conditions and exceptions are used to define when a transport rule is applied.
Conditions include:
* The sender is a member of
This condition matches messages where the sender is a member of the specified distribution group.
* The recipient is a member of
This condition matches messages that contain recipients who are members of the specified distribution group. The distribution group can be listed in the To, Cc, or Bcc fields.