When building a predictive model, what is a valid predictor data type?
A. Character
B. Symbolic
C. Boolean
D. String
When executing a decision strategy, the dotted line arrow in a decision strategy means data is
A. copied to the component the arrow points to
B. referenced by the component the arrow points to
C. referenced by the component the arrow originates from
D. copied to the component the arrow originates from
What happens when you increase the performance threshold setting of an Adaptive Model rule?
A. The number of active predictors increases.
B. The correlation threshold decreases.
C. The performance of the model is increased.
D. The number of active predictors may decrease.
The Prioritize component always outputs
A. on arbitrary number of offers
B. top 1 offer
C. top 3 offers
D. all eligible offers
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?
A. Predictive model
B. Adaptive model
C. Text categorization model
D. Text extraction model
A company wants to capture the sentiment of relevant Twitter messages to allow its customer service representatives to concentrate only on the negative messages.
Sentiment refers to the general attitude of the author towards a subject and can be____________.
A. Defensive
B. Absent
C. Offensive
D. Positive
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?
A. product eligibility rules
B. customer contact rules
C. product compatibility rules
D. business levers
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 legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
A. A list of valid categories
B. A sentiment analysis model
C. The output of an expert survey
D. A list of business rules
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