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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Topic 2: Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Topic 3: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Topic 4: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 5: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. The Filter component is used to filter________________,
A) customers
B) action
C) adaptive models
D) attributes
2. 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) combines external data sets into a larger data set
B) generates data that the company can use as input for adaptive decisioning
C) enables the company to generate random data for most of its application needs
D) makes the organisation's live data accessible
3. 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 compatibility rules
B) product eligibility rules
C) business levers
D) customer contact rules
4. evidence an assessment of its viability, the Adaptive Model produces three outputs:
Propensity, Performance and
What is evidence in the context of an Adaptive Model?
A) The likelihood of a statistically similar behavior
B) The number of statistical bins used to evaluate the response
C) The number of customers who exhibited statistically similar behavior
D) The number of customers who have responded to the modeled offer
5. In a Prioritize component, the best action can be determined based on the value of
A) Propensity
B) Customer,Value
C) Customer.Income
D) Average Margin
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: B |
