Pegasystems PEGAPCDS87V1 Questions & Answers - in .pdf
- Vendor: Pegasystems
- Exam Code: PEGAPCDS87V1
- Exam Name: Pega Certified Data Scientist (PCDS) 87V1
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- Exam Code: PEGAPCDS87V1
- Exam Name: Pega Certified Data Scientist (PCDS) 87V1
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Pegasystems PEGAPCDS87V1 Exam Overview:
| Certification Vendor: | Pegasystems |
| Exam Name: | Pega Certified Data Scientist (PCDS) 87V1 |
| Exam Number: | PEGAPCDS87V1 |
| Certificate Validity Period: | No formal expiration; Pega certifications remain valid with technology updates |
| Related Certifications: | Pega Certified Decisioning Consultant (PCDC) Pega Certified Decisioning Consultant 87V1 Pega Certified Marketing Consultant |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Scenario-Based Questions |
| Exam Price: | Varies by region (typically US$250–$300) |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 50 |
| Passing Score: | 70% |
| Sample Questions: | Pegasystems PEGAPCDS87V1 Sample Questions |
| Exam Way: | Delivered via Pearson VUE test centers or online proctored delivery. |
| Pre Condition: | Recommended background in Data Science and AI concepts; familiarity with Pega Customer Decision Hub and predictive/adaptive analytics. |
| Official Syllabus URL: | https://academy.pega.com/exam/pega-certified-data-scientist-2 |
Pegasystems PEGAPCDS87V1 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Next-Best-Action Concepts | - Core decisioning principles
|
| Adaptive Analytics | - Adaptive model usage
|
| Text Analytics / NLP | - Leveraging text analytics
|
| Decision Strategies | - Developing and evaluating decision strategies
|
| Pega Process AI | - Process AI fundamentals
|
| Predictive Analytics | - Creating predictive models
|
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
1. 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) Text extraction model
C) Adaptive model
D) Text categorization model
2. Many companies already use third-part predictive models and want to reuse these assets in the Pega Decision Management tandscape.
Which decision component allows you to use a third-party Credit Risk Model 80% of the time and a Pega Credit Risk Model 20%?
A) Champion Challenger
B) Adaptive Model
C) Switch
D) Filter
3. 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) The output of an expert survey
C) A sentiment analysis model
D) A list of business rules
4. Which property is automatically recomputed for each decision component?
A) Rank
B) Propensity
C) Priority
D) Order
5. In a Prioritize component, the best action can be determined based on the value of
A) Customer.Income
B) Average Margin
C) Customer,Value
D) Propensity
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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