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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Preparation | - Data cleansing and transformation - Feature engineering for predictive models |
| Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Predictive Analytics | - Predictive model types in Pega (classification, regression) - Model training and evaluation |
| Pega Decisioning and AI Integration | - Adaptive models and decision strategies - Embedding predictive analytics in Pega applications |
| Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. The process of importing a third-party predictive model into Pega is_____________?
A) similar to importing an adaptive model
B) to first convert it into the Pega markup language
C) simpler than importing a Pega predictive model
D) the; same as importing a Pega predictive model
2. 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 extraction model
D) Text categorization model
3. 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) generates data that the company can use as input for adaptive decisioning
B) combines external data sets into a larger data set
C) makes the organisation's live data accessible
D) enables the company to generate random data for most of its application needs
4. 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) The output of an expert survey
B) A list of business rules
C) A sentiment analysis model
D) A list of valid categories
5. When selecting the list of predictors for an adaptive model you should
A) select at least one date property
B) consider a wide range of properties
C) select up to a maximum of 500 predictors
D) always use numeric type for integer properties
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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