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| Section | Objectives |
|---|---|
| Topic 1: Data Sets and Integration | - Data flows and dataset configuration - External data integration with Pega platform |
| Topic 2: Data Understanding | - Exploratory data analysis concepts - Data sources and data types in Pega |
| Topic 3: Predictive Analytics | - Model training and evaluation - Predictive model types in Pega (classification, regression) |
| Topic 4: Pega Decisioning and AI Integration | - Embedding predictive analytics in Pega applications - Adaptive models and decision strategies |
| Topic 5: Data Preparation | - Feature engineering for predictive models - Data cleansing and transformation |
1. When selecting the list of predictors for an adaptive model you should
A) select up to a maximum of 500 predictors
B) always use numeric type for integer properties
C) select at least one date property
D) consider a wide range of properties
2. A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.
The Monte Carlo method________________
A) enables the company to generate random data for most of its application needs
B) combines external data sets into a larger data set
C) makes the organisation's live data accessible
D) generates data that the company can use as input for adaptive decisioning
3. In a decision strategy, to import actions you use a(n)_____________________.
A) Data import component
B) Offer data component
C) Import data component
D) Proposition data component
4. The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.
A) predict continuous behavior
B) differentiate between good, better and best
C) predict binary behavior
D) score different propositions
5. What happens when you increase the performance threshold setting of an Adaptive Model rule?
A) The correlation threshold decreases.
B) The number of active predictors may decrease.
C) The performance of the model is increased.
D) The number of active predictors increases.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |
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