TEST SUPPRIMÉ, VOUS POUVEZ ÊTRE INTÉRESSÉ PAR : Pega DS2
COMMENTAIRES |
STATISTIQUES |
RECORDS
|
|---|
EFFECTUER UN TEST
|
Titre du test:
Pega DS2 Description: Pega Data Scientist Auteur:
Date de création: 22/10/2024 Catégorie: Autres Questions numériques : 21 |
PARTAGER LE TEST
Commentaire
Il n'y a aucun commentaire sur ce test.
Ordre du jour :
|
A large online store uses Pega Customer Decision Hub to smoothly adapt to changing customer behavior.
Adaptive models help accomplish this business objective as the models learn from customer responses.
Which statement about adaptive models is correct? Adaptive models perform a binary model calculation Adaptive models require underlying predictive models Adaptive models require a historical data set to start learning Adaptive models perform a continuous model calculation. When defining outcomes for an Adaptive Model you must define only negative behavior values positive, negative and neutral behavior values one or more positive behavior values behavior values to be ignored. In a decision strategy, the Adaptive Model decision component belongs the Decision Analytics category Business Rules category Arbitration category Predictive Model category. What are the most important aspects taken into consideration when determining the Next-Best-Action? Product discounts and business profitability Network bandwidth and call duration Market trends and customer satisfaction Business objectives and customer needs. In a predictive model rule, the predictors must be mapped to Strategy properties Customer properties Model properties Action properties. Acquiring new customers can be more costly than retaining active customers. U+ Bank uses Pega Customer Decision Hub for its customer engagement and wants to reduce the churn rate by identifying high churn risk customers and making them a retention offer. To meet this requirement, which two artifacts created by a data scientist allow the NBA specialist to implement the decision strategy? (Choose Two) A prediction A predictive model A control group An adaptive model. To create channel-specific Adaptive Model instances, you ____________ set the channel option in the Adaptive Model component create channel specific Adaptive Model definition set channel information in the strategy do nothing; Adaptive Model instances are always channel specific. Results of two simulations can be compared using the ___________. Proposition Distribution report Visual Business Director Predictive Analytics Director Interaction History report. When you create a decision strategy from scratch and want to associate an adaptive model with each action, you need to _______. Capture the customer's response Define the adaptive model instances in Adaptive Decision Manager Link all actions with an adaptive model decision component Create an adaptive model rule for each action. Through analysis of customer lifecycles, Next-Best-Action anticipates retention issues provides future sales reports provides fulfillment services identifies global sales targets. A text prediction perform natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports. What is one of the types of text analysis that a text prediction performs? Cross reference analysis Entity extraction Word count Word analysis. For an Adaptive Model to react quickly to changes in customer behavior, the value of the memory setting should be set to a low number performance threshold should be set to a low number model must always evaluate all customer responses strategy must include the calculation for smooth propensity. A very important aspect of each model is how good a model or a given predictor is in predicting the required behavior. When building a predictive model, the use of testing and validation samples ___________________ is mandatory for segmentation validates the quality of input data enables model validation in strategies increases the accuracy of models. Which adaptive model output is automatically mapped to a strategy property? Performance Score Propensity Evidence. To build a predictive model, use____________. Pega Customer Service Pega Marketing Pega Decision Management Pega Platform. Prediction Studio supports keyword-based topic detection, model-based topic detection, or a combination of both. When using a text prediction based on machine learning with keywords configured, _________________. the Not keywords function as negative features the keywords are ignored the Must keywords are required to detect the topic keywords and training data have a similar impact on the model. When building a predictive model, in which development step is the regression model created? Model Development Model Export Model Analysis Data Analysis. Pega machine learning supports the creation of which two distinct types of predictive models? (Choose Two) Categorical Continuous Binary Numerical. 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. U+ Insurance wants to use Pega Process Al to detect fraud and assign suspicious claims to a fraud expert for closer inspection. To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim? Use the prediction outcome in the condition of an assignment step. Use the model outcome in the condition of an assignment step. Use the prediction outcome in the condition of a decision step Use the model outcome in the condition of a decision step. How does a prediction help in proactive retention? The prediction selects the next best action The prediction suggests the best offer The prediction predicts the customer's churn risk The prediction identifies successful offers in past interactions. |
Rapport de test