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NEW QUESTION: 1
A wireless engineer is hired to design a network for six buildings with a WLC in each building to support the access points.
Which type of wireless architecture is being used?
A. distributed deployment
B. centralized deployment
C. autonomous deployment
D. unified deployment
Answer: A
Explanation:
https://www.cisco.com/c/en/us/td/docs/solutions/Enterprise/Mobility/emob41dg/emob41dg- wrapper/ch2_Arch.html

NEW QUESTION: 2
When checking the VPFM Events you find that there are no events listed.
What should be the first thing you do?
A. Check the physical cabling of the VPFM server.
B. Ensure the VPFM server has IP connectivity.
C. Ensure Monitoring is turned on.
D. Perform an ARP check on the VPFM server.
Answer: C

NEW QUESTION: 3
Section A (1 Mark)
An example of ________ is that a person may reject an investment when it is posed in terms of risk surrounding potential gains but may accept the same investment if it is posed in terms of risk surrounding potential losses.
A. Regret avoidance
B. Conservatism
C. Overconfidence
D. framing
Answer: D

NEW QUESTION: 4
You need to define a modeling strategy for ad response.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system.
Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommende