TEST SUPPRIMÉ, VOUS POUVEZ ÊTRE INTÉRESSÉ PAR : Pega DS
COMMENTAIRES |
STATISTIQUES |
RECORDS
|
|---|
EFFECTUER UN TEST
|
Titre du test:
Pega DS Description: Certified Pega Data Scientist Auteur:
Date de création: 14/08/2024 Catégorie: Autres Questions numériques : 50 |
PARTAGER LE TEST
Commentaire
Il n'y a aucun commentaire sur ce test.
Ordre du jour :
|
A Scoring Model allows you to differentiate between Accept, Reject, Maybe Later Good, Bad Good, Better, Best Good, Bad, Unknown. What is the difference between predictive and adaptive analytics? Predictive models can predict a continuous value. Predictive models predict customer behavior. Adaptive models use the customer data as predict Predictive models have evidence. As a data scientist, you have enabled capturing of historical data in an adaptive model. Which two data elements are captured for every customer interaction? (Choose Two) The value of all predictors The value of only the active predictors The outcome of the interaction The model metadata The propensity generated by the model. The outcome of a scoring model indicates the likely write-off value of an arrears case claim value of a health insurance period in which a spare part has to be replaced response to an offer. The standardized machine learning process (MLOps) lets you replace a low-performing predictive model that drives a prediction with an updated model. When you approve the model, a change request is automatically generated in__________ the business operations environment an external environment the production environment the development environment. What is the key difference between a predictive model and a human expert? Predictive models always outperform human experts Humans are better at dealing with structured data and identifying patterns Predictive models are more capable of detecting patterns in historical data Humans make successful predictions on a large amount of data. As a data scientist, you are tasked with configuring two predictions that are driven by an adaptive model: one for an inbound channel and one for an outbound channel. To which setting do you need to pay extra attention? Response timeout Adaptive model Predictor fields Control group. 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? Case management Customer Decision Hub Text analytics. Which component(s) do you use to calculate the average margin of four actions? one Set Property component one Group By component four Group By components four Set Property components. An adaptive model component in a decision: propensity, performance, evidence, and positives. What is evidence in the context of an adaptive model? The likelihood of a statistically similar behavior The number of customers who exhibited statistically similar behavior The number of statistical bins that arc generated by the system The number of outcomes that system registered. You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives. What factors do you consider in the prioritization expression? product eligibility rules customer contact rules product compatibility rules business levers. What type of a predictor can you use in an adaptive model? Symbolic Integer Page Type Logical. 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_________. Similar offers were rejected by the customer The offer was rejected by similar customers Similar offers were accepted by the customer The offer was accepted by similar customers. When implementing a Next-Best-Action project, which step is recommended to be taken first? Define Issue and Group hierarchy Define propositions Define business rules Define prioritization formula. U+ Insurance uses Pega Process AI™ to assess the complexity of the claims and route a claim to the best-suited user. In the case type that handles claims, the application developer wants to use AI to route claims that are likely to miss their deadline to an expert. As a data scientist, what task do you first perform to allow the application developer to reference the AI output in the case type? Create a predictive model. Add a decision step to the case type. Configure an adaptive model to drive the prediction. Create a prediction. In a strategy defined in the "Retension" issue and the "X-Sell" group, you can import________ Actions from all groups under the "Retention" issue Actions from "X-Sell" group Actions from the "Sales" issue All active actions. U+ Bank promotes credit card offers on its website and uses Pega Customer Decision Hub to personalize the offer for every customer. Now, the bank wants to lower the number of customers that leave the bank by showing a proactive retention offer to high churn risk customers instead. As an NBA analyst, you are tasked with creating a new applicability setting to comply with the new business rule. Which business issue or issues do you modify? The Retention issue The Sales issue The Sales issue and the Retention issue No modification is required. Which statement about predictive models is true? Predictive models need historical data to be created Predictive models need to be specified in a data attribute Predictive models are always associated with an action Predictive models need unstructured bie data. Configuring an adaptive model involves selecting the potential predictors. How many potential predictors are recommended for an adaptive model? At least 100 fields to reach an acceptable level of model performance All fields that have been predictive in the past All available uncorrected fields Up to 100 fields to limit the impact on model speed. When you build a decision strategy, what property do you use to access the output of a prediction that is driven by a predictive model markup language (PMML) model? pxEvidence pxResult pxSegment nxOutcome. The purpose of predictions is to______________ build adaptive models monitor the success rate of individual actions add best data scientist practices to adaptive models add predictors to adaptive models. When building a predictive model, at what stage do you compare the performance of predictive models? Model Development stage Model Analysis stage Model Export stage Model Comparison stage. When building a predictive model, the Data Analysis stage is where you create data samples select the input data group predictors determine the output field. A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages. What do you need to analyze the incoming messages? Predictive model Adaptive model Text categorization model Text extraction model. U+ Bank wants to offer a 10% discount for customers whose CLV value is higher than 400. Which strategy component should you use to meet the new requirement? Group By Filter Set Property Prioritize. As a highly experienced data scientist, which two advanced settings are available to you? Outcomes Predictor types The parameters used to bin the responses Predictor selection The update frequency of the models. Which decision component allows you to monitor the real-time performance of a third- party Churn Model? Scorecard Model Adaptive Model Predictive Model PMML Model. The Predictive Model Markup Language (PMML) allows for predictive models to Perform better Be easily shared between applications Use the same modeling process Be developed faster. Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%? Filter Champion Challenger Adaptive Model Switch. To configure an adaptive model, the responses that indicate specific customer behavior must be identified. What types of behavior need to be identified? Positive and negative behavior Any behavior Positive behavior only Positive, neutral, and negative behavior. When implementing Next-Best-Action, the Customer Lifetime Value Threshold is typically used to_________. prioritize high value propositions prioritize customers determine if the customer is eligible calculate the customer's lifetime value. A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts. What is a taxonomy? A list of business rules The output of an expert survey A sentiment analysis model A list of valid categories. To optimize their customer interactions, U+ Bank routes all emails that are complaints to a specialized department. To identify emails that voice a complaint, the text prediction uses___________ An entity extraction model a topic model a language model a sentiment model. As a data scientist, you are asked to create a prediction to optimize the click-through rate of a web banner. What type of prediction do you need to create in Prediction studio? Adaptive prediction Case management Customer Decision Hub Text analysis. Predictions combine predictive analytics and best practices in data science. As a data scientist, what is a valid reason to adjust the default response timeout in a prediction? Suit the use case Optimize the success rate Increase lift Limit the number of responses. Prediction Studio supports keyword-based topic detection, model-based topic detection and the combination of these. When using machine learning, keywords have a higher impact on the model than the training data the Must keywords are required to detect the topic the Must keywords function as positive features the keywords are ignored. What happens when you increase the performance threshold setting of an adaptive model rule? The number of active predictors increases The performance of the model is increased The correlation threshold decreases The number of active predictors may decrease. To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________. 1.0 null 0.5 0.0. As a data scientist, you are tasked with creating a new prediction that estimates a customers' likelihood to leave the business in the near future. The NBA analyst wants to move forward and use the prediction in Pega Customer Decision Hub™ to test the application. To unblock the NBA specialist, which task do you prioritize? Create the prediction Create the customer data model Create a placeholder scorecard to drive the prediction Create the predictive model that drives the prediction. Which property is automatically recomputed for each decision component? Property Rank Order Priority. Pega Decision Management enables organizations to make next-best-action decisions. To which types of decisions can next-best-action be applied? Determining how to optimize the product portfolio to increase market share Determining why response rates for a campaign in one region are below average Determining the cause of a customer's problem Determining which banner to show on a web site to increase click rate. The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email. To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio? Pega Customer Decision Hub™ prediction. Sentiment detection does not require any predictions. Case management prediction. Text analytics prediction. In a decision strategy, to remove propositions based on the current month, you use a Calendar component Filter component Data Strategy property Calendar strategy property. U+ Insurance uses Pega Process AI™ to route complex claims to an expert. As a data scientist, you have used the wizard to create a prediction with Case completion as the outcome to help with decision routing. You are tasked with monitoring the adaptive models. When you open the monitoring tab of the adaptive model rule, you see the following chart: In this scenario, the system creates an adaptive model for each case type instance case type case type step case type stage. What two tasks does a system architect need to perform to export historical data? (Choose Two) Switch to a resilient repository Set the sample percentage for positive and negative outcomes Export the data set Validate the predictors used by the adaptive models Validate the predictors used by the adaptive models Create a data set. To confirm the continuing accuracy of your adaptive models, adaptive models must be regularly inspected. Which two tasks are part of a regular inspection? (Choose Two) Check the performance and success rate of the models. Add the historical data collected since the last inspection. Update the models. Check the performance of individual predictors. Adjust the advanced settings. When building a model using Pega machine learning, the validation hold-out set is used to ____________ and to ____________. (Choose Two) check for robustness of candidate models analyze the performance characteristics of candidate models select the best model train the models compare their performance. Using Prediction Studio to build Pega machine learning models on historical data, you can build two types of models: ____________ and ____________. (Choose Two) continuous models voice to text model adaptive models binary models. In a decision strategy, what does a dotted line from a "Group By" component to a "Filter" component indicate? Information from the Group By component copies over to the Filter component. There is a one-to-one relationship between the Group By and the Filter components. The Filter component references a property from Group By component. Evaluate the Filter component first to evaluate the Group By component. The Pega Customer Decision Hub™ delivers Next-Best-Actions consistently through multiple channels. To which of the following channels does this apply? Cable television Mobile Traditional newspaper Billboard. |
Rapport de test