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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Topic 2: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 3: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
| Topic 4: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 5: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. The Prioritize component always outputs
A) top 3 offers
B) top 1 offer
C) on arbitrary number of offers
D) all eligible offers
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) 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) makes the organisation's live data accessible
D) combines external data sets into a larger data set
3. A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards.
To extend the customer data model with the credit card product usage data, you need to______________..
A) create a Provider
B) add a Field
C) add a Group
D) merge customer and credit card data
4. To which property is the output of a PMML model automatically mapped?
A) pxOutcome
B) pxPMMLOutputd
C) pxSegment
D) pxResult
5. 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) Create a Text extraction model
C) Use Pega machine learning to build a model
D) Create an adaptive self-learning model
E) Use a Google ML model
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: A,B,C |



