You are a company with a new and unique product, and you want to offer it to the right customer.Give the scenario, which rule type should you use?
Answer(s): A
You are a company with a new and unique product, and you want to offer it to the right customer. Given the scenario, you should use an adaptive model rule type. An adaptive model rule type allows you to define the predictors and the outcome of the model and associate it with an action. An adaptive model learns from customer responses in real time and predicts the propensity of each customer to accept the action. An adaptive model is suitable for new products or markets where there is no historical data available.
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule- decision-/rule-decision-adaptivemodel/main.htm
An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website. A customer's propensity to accept an offer increases when_________.
Answer(s): C
This is because a customer's propensity to accept an offer depends on their past behavior and preferences. If a customer has accepted similar offers in the past, they are more likely to accept a new offer that matches their interests https://academy.pega.com/sites/default/files/media/documents/2020-12/Mission20301-2-EN- StudentGuide.pdf
The Predictive Model Markup Language (PMML) allows for predictive models to
Answer(s): B
The Predictive Model Markup Language (PMML) allows for predictive models to be easily shared between applications. PMML is a standard XML format that describes the input parameters, output score, and mathematical formulas of predictive models. PMML enables interoperability between different tools and platforms that support PMML, such as Pega Customer Decision Hub.
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data- predictivemodel-/data-predictivemodel-pmml/main.htm
How does a prediction help in proactive retention?
A prediction helps in proactive retention by predicting the customer's churn risk. A prediction is an estimate of the likelihood of a future outcome based on historical data and statistical models. A prediction can help identify customers who are at risk of leaving and target them with appropriate actions to retain them.
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#decisioning- /decisioning-strategies-/decisioning-strategies-proactive-retention/main.htm
In a predictive model rule, the predictors must be mapped to
Customer properties are used to map predictors to customer data that is available in the system. They can be either scalar or aggregate properties.
https://academy.pega.com/module/creating-and-understanding-decision-strategies- archived/topic/mapping-predictors-customer
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question 182 - correct answer is d. ethernet frame length is 64 - 1518b. length of user data containing is that frame: 46 - 1500b.
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question #50 and question #81 are exactly the same questions, azure site recovery provides________for virtual machines. the first says that it is fault tolerance is the answer and second says disater recovery. from my research, it says it should be disaster recovery. can anybody explain to me why? thank you
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answer to this question "what administrative safeguards should be implemented to protect the collected data while in use by manasa and her product management team? " it should be (c) for the following reasons: this administrative safeguard involves controlling access to collected data by ensuring that only individuals who need the data for their job responsibilities have access to it. this helps minimize the risk of unauthorized access and potential misuse of sensitive information. while other options such as (a) documenting data flows and (b) conducting a privacy impact assessment (pia) are important steps in data protection, implementing a "need to know" access policy directly addresses the issue of protecting data while in use by limiting access to those who require it for legitimate purposes. (d) is not directly related to safeguarding data during use; it focuses on data transfers and location.
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for question 4, the righr answer is :recover automatically from failures
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