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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q31 answer should be d i think
is this real?
q10: c and f are also true. q11: this is outdated. you no longer need ownership on a pipe to operate it
good questions with simple explanation
admin guide (windows) respond to malicious causality chains. when the cortex xdr agent identifies a remote network connection that attempts to perform malicious activity—such as encrypting endpoint files—the agent can automatically block the ip address to close all existing communication and block new connections from this ip address to the endpoint. when cortex xdrblocks an ip address per endpoint, that address remains blocked throughout all agent profiles and policies, including any host-firewall policy rules. you can view the list of all blocked ip addresses per endpoint from the action center, as well as unblock them to re-enable communication as appropriate. this module is supported with cortex xdr agent 7.3.0 and later. select the action mode to take when the cortex xdr agent detects remote malicious causality chains: enabled (default)—terminate connection and block ip address of the remote connection. disabled—do not block remote ip addresses. to allow specific and known s
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question 5, it seems a instead of d, because: - care plan = case - patient = person account - product = product2;
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question 35 has an answer for a different question. i believe the answer is "a" because it shut off the firewall. "0" in registry data means that its false (aka off).
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