PDF Version DemoPegasystems PEGAPCDS87V1 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Pega Certified Data Scientist (PCDS) 87V1 |
| Exam Number: | PEGAPCDS87V1 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Price: | Varies by region (typically US$250–$300) |
| Passing Score: | 70% |
| Exam Format: | Scenario-Based Questions, Multiple Choice |
| Related Certifications: | Pega Certified Decisioning Consultant 87V1 Pega Certified Decisioning Consultant (PCDC) Pega Certified Marketing Consultant |
| Certificate Validity Period: | No formal expiration; Pega certifications remain valid with technology updates |
| Real Exam Qty: | 50 |
| 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 |
|---|---|
| Topic 1: Adaptive Analytics | - Adaptive model usage
|
| Topic 2: Decision Strategies | - Developing and evaluating decision strategies
|
| Topic 3: Text Analytics / NLP | - Leveraging text analytics
|
| Topic 4: Next-Best-Action Concepts | - Core decisioning principles
|
| Topic 5: Pega Process AI | - Process AI fundamentals
|
| Topic 6: Predictive Analytics | - Creating predictive models
|
Pegasystems Pega Certified Data Scientist (PCDS) 87V1 Sample Questions:
Question 1
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. merge customer and credit card data
B. add a Field
C. add a Group
D. create a Provider
Question 2
When a new component is added to the strategy canvas, its Rank value will be
A. Not set
B. 1
C. 0
D. One higher than the current highest Rank
Question 3
Which data is usually not appropriate to be used as a predictor?
A. Usage data
B. Customer name
C. Customer zip code
D. Historical interaction data
Question 4
The Adaptive Model component in a strategy computes
A. a unique accept rate for each action
B. a single accept rate for all actions
C. a single propensity value for all actions
D. a propensity value for each action
Question 5
A Text Analyzer performs natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What type of text analysis does the text analyzer perform?
A. Word count
B. Cross reference analysis
C. Word analysis
D. Classification
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: D |
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