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NEW QUESTION: 1
Refer to the exhibit.
A Сisco collaboration engineer discovers that an instance of IOS image termination point (MTP) could not maintain stable registration with CUCM.
Callmanager traces are shown in the exhibit. What is the reason for the flapping registration?
A. Another IOS Media device is attempting to register with the same name.
B. The IOS MTP is experiencing high CPU and is missing its keep-alives.
C. The CCM version on IOS configuration does not match the CUCM version.
D. A Firewall is blocking port 2000 intermittently between IOS Device and CUCM.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
You need to extend the edit functionality of RunLogController.
Which code segment should you use?
A. Option C
B. Option A
C. Option D
D. Option B
Answer: A
NEW QUESTION: 3
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