Exam Name: Pega Certified Data Scientist (PCDS) 80V1 2020
Certification Provider: Pegasystems
Corresponding Certification: Pega PCDS
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Change begins with determination, but it succeeds with structure. If you are aiming at the Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 certification, Actual4dump organizes the PEGAPCDS80V1_2020 exam content into 50+ Q&As with key knowledge points clearly underlined — the important material is already picked out for you.
Pegasystems PEGAPCDS80V1_2020 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Text Analytics | 10% | - Text analytics concepts and NLP basics - Use cases such as email routing and interaction analysis - Applying text analytics in decision strategies |
| Topic 2: Next-Best-Action | 8% | - Next-Best-Action paradigm concepts - Introduction to Pega for data scientists |
| Topic 3: Decision Strategies | 26% | - Arbitrating and prioritizing customer actions - Building and simulating decision strategies - Understanding decisioning logic |
| Topic 4: Predictive Analytics | 22% | - Building and evaluating predictive models - Integrating third-party predictive models - Using Prediction Studio - Fundamentals of predictive models |
| Topic 5: Adaptive Analytics | 34% | - Real-time adaptive learning - Adaptive model fundamentals - Monitoring and tuning adaptive models - Quantifying business impact of machine learning |
The Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 Exam: What You Are Asking
The official outline structures the PEGAPCDS80V1_2020 exam around weighted domains such as:
- Text Analytics (10%)
- Next-Best-Action (8%)
- Decision Strategies (26%)
In the Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 materials at Actual4dump, the key knowledge points within these domains are clearly underlined, so the heavy areas get the attention they deserve without extra digging.
No mandatory prerequisites; recommended: basic data science knowledge and familiarity with Pega Customer Decision Hub
The PEGAPCDS80V1_2020 exam is the official assessment for the Pegasystems Pega Certified Data Scientist (PCDS) 80V1 2020 certification from Pegasystems. It measures how well you can apply the published exam objectives in realistic scenarios — and for professionals looking to change their current situation, the credential is one of the most concrete ways to demonstrate new, verifiable skills.
Professional experts — and then other experts check their work. The PEGAPCDS80V1_2020 exam content is compiled by specialists deeply familiar with the real exam, who make the knowledge easy to understand and keep the descriptions vivid rather than dry. Before release, the materials go through repeated rounds of checking, and the key knowledge points are clearly underlined throughout. That two-layer process — written by experts, verified by experts — is what the quality of the Actual4dump question bank rests on.
Passing the PEGAPCDS80V1_2020 exam requires 70%, and the registration fee is USD 175. Knowing your target score early turns practice sessions into measurable progress rather than guesswork.
Pegasystems lists the following training resources:
Official courses explain the concepts; well-organized practice questions with underlined key points make revision fast. The two complement each other nicely.
The PEGAPCDS80V1_2020 exam contains 50 questions with a time allowance of 90 minutes minutes. Practicing complete timed sets is the reliable way to make that pace feel manageable on the day.
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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. predict continuous behavior
- B. predict binary behavior
- C. score different propositions
- D. differentiate between good, better and best
Correct Answer: B 🗳️
As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)
- A. Create an adaptive self-learning model
- B. Create a Text extraction model
- C. Use Pega machine learning to build a model
- D. Import a third party PMML model
- E. Use a Google ML model
Correct Answer: B,C,E 🗳️
An online store is interested in increasing its revenues from cross-selling and wants to predict the acceptance rate of the offers presented on their website.
A customer's propensity to accept an offer increases when___________________. .
- A. similar offers were rejected by the customer
- B. the offer was accepted by similar customers
- C. the offer was rejected by similar customers
- D. similar offers were accepted by the customer
Correct Answer: D 🗳️
The process of importing a third-party predictive model into Pega is_____________'
- A. the; same as importing a Pega predictive model
- B. to first convert it into the Pega markup language
- C. similar to importing an adaptive model
- D. simpler than importing a Pega predictive model
Correct Answer: B 🗳️
When executing a decision strategy, the dotted line arrow in a decision strategy means data is
- A. copied to the component the arrow points to
- B. copied to the component the arrow originates from
- C. referenced by the component the arrow points to
- D. referenced by the component the arrow originates from
Correct Answer: C 🗳️
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