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The PEGACPDS88V1 certification exam is an excellent way for data scientists to demonstrate their skills and knowledge in Pega technology. The certification is recognized globally and can help professionals enhance their career prospects. By preparing well for the exam, candidates can increase their chances of passing and obtaining the certification.
The PEGACPDS88V1 certification exam covers a range of topics, including Pega data science fundamentals, data modeling, data analysis, and predictive analytics. The exam is designed to test the candidate's understanding of data science concepts and their ability to apply them in real-world scenarios. The exam is also designed to test the candidate's ability to work with Pega tools such as Pega Predictive Diagnostic Cloud and Pega Customer Decision Hub.
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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q47-Q52):
NEW QUESTION # 47
As a highly experienced data scientist, which two advanced settings are available to you? (Choose Two)
- A. Predictor selection
- B. Outcomes
- C. The update frequency of the models
- D. The parameters used to bin the responses
- E. Predictor types
Answer: A,C
Explanation:
Explanation
Predictor selection and The update frequency of the models Reference:
As a highly experienced data scientist, you have access to advanced settings such as predictor selection and the update frequency of the models
NEW QUESTION # 48
A best practice in data science is to use a control group. What business metric is supported by this practice?
- A. The number of responses
- B. The success rate of the prediction
- C. The lift that the prediction generates
- D. The performance of the prediction
Answer: C
Explanation:
Explanation
The lift that the prediction generates Reference:
Using a control group is a best practice in data science that supports the business metric of the lift that the prediction generates.
NEW QUESTION # 49
What two tasks does a system architect need to perform to export historical data? (Choose Two)
- A. Switch to a resilient repository
- B. Create a data set
- C. Export the data set
- D. Validate the predictors used by the adaptive models
- E. Set the sample percentage for positive and negative outcomes
Answer: B,C
Explanation:
Explanation
Two tasks that a system architect needs to perform to export historical data are export the data set and create a data set.
NEW QUESTION # 50
Customer Decision Hub uses the P*C*V*L arbitration formula to select the next best action for each customer. Which factor in the arbitration formula is calculated by using AI?
- A. Action value
- B. Propensity
- C. Context weighing
- D. Business levers
Answer: B
Explanation:
Explanation
In Customer Decision Hub, the factor in the arbitration formula that is calculated by using AI is Propensity.
NEW QUESTION # 51
An adaptive model instance is created when you________
- A. Execute a strategy containing the adaptive model component
- B. Save the Adaptive model rule
- C. Restart the Adaptive Decision Manager Service
- D. Open the Adaptive model management landing page
Answer: A
Explanation:
Explanation
An adaptive model instance is created when you execute a strategy containing the adaptive model component.
The adaptive model component references an adaptive model rule that defines the predictors and the outcome of the model. The adaptive model instance stores the data and the statistics of the model for a specific context and action. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision
NEW QUESTION # 52
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