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1.What two tasks does a system architect need to perform to export historical data? (Choose Two)

A system architect needs to export the data set to export historical data.
A system architect needs to create a data set to export historical data.
A. Switch to a resilient repository
B. Set the sample percentage for positive and negative outcomes
C. Export the data set
D. Validate the predictors used by the adaptive models
E. Create a data set
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Ed Verified user icon

há 2 anos

Para exportar dados históricos, um arquiteto de sistemas precisa realizar duas tarefas: 1. Exportar o conjunto de dados: Essa tarefa envolve selecionar e transferir o conjunto de dados históricos para um formato adequado para exportação. 2. Criar um conjunto de dados: Antes de exportar os dados históricos, o arquiteto de sistemas precisa criar um conjunto de dados que contenha as informações relevantes para a exportação. Portanto, as opções corretas seriam: A. Exportar o conjunto de dados E. Criar um conjunto de dados

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2.In a strategy defined in the 'Retension' issue and the 'X-Sell' group, you can import________

In a strategy defined in the 'Retension' issue and the 'X-Sell' group, you can import actions from all groups under the 'Retention' issue.
A. Actions from all groups under the 'Retention' issue
B. Actions from 'X-Sell' group
C. Actions from the 'Sales' issue
D. All active actions

3.A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?

The minimum number of Proposition Data components he needs to use in his strategy is three.
A. one
B. twelve
C. three
D. two

4.Predictive Analytics is a________________

Predictive Analytics is a branch of data science that uses statistical techniques and machine learning algorithms to find repeatable patterns in data and make predictions about future outcomes or behaviors.
A. real time predictive dashboard
B. method of visualizing our data
C. science concerned with finding repeatable patterns in
D. query, reporting and a search tool

5.U+ Telecom wants to engage in proactive retention to reduce churn. As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. What type of prediction do you create?

As a data scientist, you create a prediction that calculates the probability that a client is likely to cancel a subscription. The type of prediction you create is Customer Decision Hub.
A. Case management
B. Customer Decision Hub
C. Text analytics

6.Which statement best describes the goal of Next-Best-Action?

The goal of Next-Best-Action is to provide the best possible action to take for a specific customer at a specific time.
A. Ens
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C. To analyze customer data to predict future behavior.
D. To create a prediction that calculates the probability that a client is likely to cancel a subscription.

Which of the following is the goal of Next-Best-Action?

A. Ensure that the customer is always given a desirable offer
B. Balance customer needs with business objectives
C. Ensure that every customer receives the same action
D. Provide insight into business processes
A
B
C
D

U+ Bank introduces a new credit card that has no historical customer behavior data. U+ Bank wants to offer this credit card on the personalized web portal. Given the scenario, which rule type must you use?


A. Decision table
B. When rule
C. Adaptive model
D. Pega machine learning model

When you place the new model in shadow mode in the production environment, the current model___________


A. uses the outcomes of the new model as predictors
B. is automatically replaced
C. drives the prediction
D. no longer drives the prediction

Which two factors do you inspect to access the general health of the adaptive models in Prediction Studio? (Choose Two)


A. Performance of the models
B. Number of responses
C. Number of decisions
D. Model transparency

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