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Pegasystems PEGAPCDS80V1_2020 Exam Overview:
| Certification Vendor: | Pegasystems |
|---|---|
| Exam Name: | Pega Certified Data Scientist (PCDS) 80V1 2020 |
| Exam Number: | PEGAPCDS80V1_2020 |
| Certificate Validity Period: | No fixed expiration; valid for the version earned |
| Exam Price: | USD 175 |
| Available Languages: | English |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Exam Format: | Scenario-based Questions, Multiple Choice |
| Real Exam Qty: | 50 |
| Recommended Training: | Official Pega Academy Training |
| Exam Registration: | Pearson VUE Registration Pega Academy Certification Page |
| Sample Questions: |  |
| Exam Way: | Proctored via Pearson VUE; available at physical test centers or online proctored (OnVUE) |
| Pre Condition: | No mandatory prerequisites; recommended: basic data science knowledge and familiarity with Pega Customer Decision Hub |
| Official Syllabus URL: | https://academy.pega.com/certifications/data-scientist |
Pegasystems PEGAPCDS80V1_2020 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Predictive Analytics | 22% | - Integrating third-party predictive models - Building and evaluating predictive models - Using Prediction Studio - Fundamentals of predictive models |
| Decision Strategies | 26% | - Building and simulating decision strategies - Arbitrating and prioritizing customer actions - Understanding decisioning logic |
| Text Analytics | 10% | - Use cases such as email routing and interaction analysis - Applying text analytics in decision strategies - Text analytics concepts and NLP basics |
| Next-Best-Action | 8% | - Next-Best-Action paradigm concepts - Introduction to Pega for data scientists |
| Adaptive Analytics | 34% | - Monitoring and tuning adaptive models - Adaptive model fundamentals - Quantifying business impact of machine learning - Real-time adaptive learning |
PEGAPCDS80V1_2020 Preparation: Your Questions Answered
Many candidates combine practice questions with official training. Recommended options include:
This package includes 50 practice questions for the Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
Yes. The online test engine runs entirely in a web browser, which is why it works identically on Windows, Mac, Android, and iOS without any installation. If you can open a browser, you can practice — on a computer at home or a phone on the move.
The Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 exam contains 50 questions, and you will have 90 minutes minutes to complete them. Simulating this exact combination during practice builds both speed and accuracy.
The Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 exam requires a score of 70% to pass, and the official registration fee is USD 175. Thorough preparation is the most reliable way to protect that investment.
You can register for the Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 exam through the official channels:
The PC test engine installs on Windows and runs on a standard Java environment, which most computers already have or can add in minutes. Once installed, it simulates the real exam scenario with timed sessions, automatic scoring, and mistake tracking — a full practice lab on your own computer.
The Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 practice questions are organized around the official exam objectives. Key topics include:
- Next-Best-Action (8%)
- Decision Strategies (26%)
- Adaptive Analytics (34%)
Coverage follows the official syllabus, so your practice time always maps to exam content.
No mandatory prerequisites; recommended: basic data science knowledge and familiarity with Pega Customer Decision Hub
You can confirm the current eligibility requirements on the official PEGAPCDS80V1_2020 exam page before you register.
Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 Sample Questions:
The Prediction Studio portal supports the creation of two distinct types of predictiveScoring models are used to__________________.
- A. score different propositions
- B. differentiate between good, better and best
- C. predict binary behavior
- D. predict continuous behavior
Correct Answer: C 🗳️
Which data is usually not appropriate to be used as a predictor?
- A. Customer zip code
- B. Usage data
- C. Historical interaction data
- D. Customer name
Correct Answer: A 🗳️
A company wants to create a data set that includes mock-up customer add Which method is available to populate these fields?
- A. Bayesian
- B. Propensity
- C. Import
- D. Monte Carlo
Correct Answer: D 🗳️
In a decision strategy, to import actions you use a(n)_____________________.
- A. Data import component
- B. Proposition data component
- C. Offer data component
- D. Import data component
Correct Answer: A 🗳️
According to Forrester, it is far more expensive to attract new customers than it is to prevent existing customers from leaving.
Which model type do you use to predict if a customer is likely to churn?
- A. Adaptive model
- B. Predictive model
- C. Categorization model
- D. Extraction model
Correct Answer: B 🗳️
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