Pega Certified Data Scientist (PCDS) 87V1 PEGAPCDS87V1 exam torrent materials
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Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI & Natural Language Processing | 12% | - Sentiment analysis and text processing - Pega NLP fundamentals |
| Adaptive Analytics | 28% | - Adaptive Decision Manager (ADM) concepts - Configuring and tuning predictors - Model performance monitoring and diagnostics |
| Decision Strategies & Next-Best-Action | 20% | - Core decisioning principles - Arbitration and prioritization logic - Designing and testing decision strategies |
| Predictive Analytics | 25% | - Importing and validating PMML/external models - Model evaluation metrics (AUC, lift, propensity) - Prediction Studio usage |
| Model Governance & Ethics | 5% | - Bias detection and compliance - AI governance framework |
| Pega Process AI | 10% | - Predictive case completion - Fraud and risk detection models |
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. The decision components used on the strategy canvas can be individually configured Which function is available when configuring the Group By component?
A) Multiply
B) Average
C) True if Some
D) Divide
2. From two chum models with the similar performance, we choose the one with the________________.
A) most evidence
B) highest churn rate
C) fewest number of predictors
D) highest number of predictors
3. To enable an assessment of its reliability, the Adaptive Model produces three outputs:
Propensity. Performance and Evidence.
The performance of an Adaptive Model that has not collected any evidence is_____________________.
A) null
B) 0.0
C) 0.5
D) 1-0
4. Which component(s) do you use to calculate the average margin of four actions?
A) one Group By component
B) four Set Property components
C) one Set Property component
D) four Group By components
5. 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) Adaptive model
B) Predictive model
C) Text extraction model
D) Text categorization model
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
