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The Pegasystems PEGACPDS88V1 exam covers a range of topics, including data management, data analysis, machine learning, predictive analytics, and decision-making. Successful candidates will have a thorough understanding of Pega's data management and analysis tools, as well as the ability to use these tools to identify patterns, make predictions, and inform decision-making. Certified Pega Data Scientist 88V1 certification is recognized globally and offers an excellent opportunity for data scientists to showcase their expertise and advance their careers.
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The PEGACPDS88V1 certification is highly valued in the industry, as it demonstrates the candidate's ability to use data science to drive business outcomes. Certified Pega Data Scientist 88V1 certification is recognized by leading organizations around the world and is a testament to the candidate's skills and expertise in the field of data science. Certified Pega Data Scientist 88V1 certification can help candidates to advance their careers and to take on more challenging roles in the field of data science.
Reference: https://academy.pega.com/exam/certified-pega-data-scientist-3
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Pegasystems PEGACPDS88V1 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Governance & Process AI | 4% | - Model governance and compliance
- Predicting SLA and fraud risks
- Ethics and fairness in AI models
|
| Topic 2: Pega NLP & Text Analytics | 12% | - NLP overview and use cases
- Text analysis for routing and classification
- Entity extraction and sentiment analysis
|
| Topic 3: Adaptive Analytics | 36% | - Adaptive model concepts and architecture
- Model refresh and learning settings
- Monitoring and analyzing model performance
- Exporting and interpreting model data
|
| Topic 4: Decision Strategies & Prediction Patterns | 16% | - Designing decision logic
- Defining reusable prediction patterns
- Arbitration and prioritization
- Combining predictions in strategies
|
| Topic 5: Predictive Analytics | 32% | - Building and importing predictive models
- MLOps and model lifecycle management
- Third-party model integration
- Model validation and scoring
|