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NEW QUESTION: 1
A defined benefit pension plan:
A. disburses benefits based on the returns on the fund's investments.
B. pays defined benefits for a certain period after retirement.
C. promises to pay retirees a specific income stream.
Answer: C
Explanation:
In a defined benefit pension plan, the retirement benefits are "predefined." The employer commits to providing the benefits regardless of the performance of the pension plan. Thus, in this plan, the risk of pension plan performance is borne by the employer and not the employee.

NEW QUESTION: 2
When users use Huawei FusionAccess cloud virtual desktops, in order to prevent monitoring and stealing user data, which of the following protocols are used to ensure transmission channel encryption?
A. SCTP
B. ICMP
C. SSL
D. SNMP
Answer: C

NEW QUESTION: 3
Smart Guys Securities Corporation has given a workable bid to Better Guys Securities Corporation. If
market conditions change, Smart Guys may:
A. not change the bid
B. not change the bid unless first notifying the other dealer
C. change the bid
D. change the bid only with prior approval of the other dealer
Answer: C
Explanation:
change the bid. A workable bid indicates a price level where a dealer is willing to negotiate
business. It is not a firm bid and may be changed before becoming firm.

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-recommender

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