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Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q119-Q124):

NEW QUESTION # 119
You can use various data types in adaptive analytics. Some of these require preprocessing before being used as a potential predictor. Others can be used directly. Which two data types require no preprocessing? (Choose Two)

A. Dates with absolute time/date values, such as birthdays
B. Event stream data, such as recent transactions
C. Numeric data such as customer age and income
D. Symbolic data with up to 200 distinct values, such as products bought previously
E. Text data such as Twitter messages

Answer: A,C

Explanation:
Explanation
Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income Reference:
Dates with absolute time/date values, such as birthdays and Numeric data such as customer age and income require no preprocessing before being used as potential predictors in adaptive analytics.

NEW QUESTION # 120
Which statement about Pega AI is correct?

A. Pega AI is primarily based on models newly build in Prediction Studio
B. Pega AI is restricted to models newly build in Prediction Studio
C. Pega AI is restricted to self-learning models
D. Pega AI is primarily based on self-learning models

Answer: D

Explanation:
Explanation
Pega AI is primarily based on self-learning models Reference:
Pega AI is primarily based on self-learning models

NEW QUESTION # 121
What are two of the results of an adaptive model? (choose two)

A. Segment
B. Evidence
C. Performance
D. Priority

Answer: B,C

Explanation:
Explanation
Performance and evidence are two of the results of an adaptive model. Performance is the percentage of positive responses that the model predicts for a given predictor profile. Evidence is the number of customers who exhibited statistically similar behavior. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#rule-/rule-decision-/rule-decision

NEW QUESTION # 122
A text prediction perform natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What is one of the types of text analysis that a text prediction performs?

A. Word analysis
B. Word count
C. Entity extraction
D. Cross reference analysis

Answer: C

Explanation:
Explanation
Text prediction is a type of natural language processing that uses AI and statistics to predict the next word in a sentence based on the preceding words . Text analysis is a process of extracting information from text data using various methods and tools. One of the types of text analysis that a text prediction performs is entity extraction23, which is the identification and classification of named entities such as people, places, organizations, dates, etc. in a text.

NEW QUESTION # 123
Predictions combine predictive analytics and best practices in data science. Which two best practices are included in Pega Customer Decision Hub predictions? (Choose Two)

A. Using a control group
B. Selecting the model with the highest performance
C. Setting the response timeout
D. Selecting the audience

Answer: A,B

Explanation:
Explanation
Predictions combine predictive analytics and best practices in data science. Two best practices included in Pega Customer Decision Hub predictions are using a control group and selecting the model with the highest performance.

NEW QUESTION # 124
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