A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.

The Monte Carlo method________________

A. enables the company to generate random data for most of its application needs

B. generates data that the company can use as input for adaptive decisioning

C. combines external data sets into a larger data set

D. makes the organisation's live data accessible

When defining outcomes for an Adaptive Model you must define_________________.

A. only negative behavior values

B. positive, negative and neutral behavior values

C. one or more positive behavior values

D. behavior values to be ignored

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___________________. .

A. similar offers were rejected by the customer

B. similar offers were accepted by the customer

C. the offer was rejected by similar customers

D. the offer was accepted by similar customers

From two chum models with the similar performance, we choose the one with the________________.

A. highest number of predictors

B. most evidence

C. highest churn rate

D. fewest number of predictors

A large online store wants to adapt to changing customer behavior, and at the same time does not want to get earned away by every next hype in the market. Adaptive models can help accomplish both business objectives.

Which statement about adaptive models is correct?

A. Adaptive models perform a spectrum model calculation.

B. Adaptive models perform a scoring model calculation.

C. Adaptive models require underlying predictive models.

D. Adaptive models are regression models.

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

A. Model transparency

B. Insights

C. Performance of the models

D. Number of decisions

As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)

A. Import a third party PMML model

B. Use a Google ML model

C. Create a Text extraction model

D. Create an adaptive self-learning model

E. Use Pega machine learning to build a model

In a strategy defined in the "Retention" issue and the "X-Sell" group, you can import

A. propositions from the Sales issue

B. propositions from all groups under the "Retention" issue

C. all propositions from the system

D. propositions from "X-Sell" group

U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.

As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.

A. Text categorization model

B. Text extraction model

C. Adaptive model

D. Pegs machine learning model

You can save a regression model as a______________.

A. Scorecard rule

B. Regression Model rule

C. Decision Tree rule

D. Predictive Model rule