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PEGAPCDS87V1 : Pega Certified Data Scientist (PCDS) 87V1 Exam
Pegasystems PEGAPCDS87V1 Questions & Answers
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Exam Code : PEGAPCDS87V1
Exam Name : Pega Certified Data Scientist (PCDS) 87V1
Vendor Name :
"Pegasystems"
PEGAPCDS87V1 Dumps
PEGAPCDS87V1 Braindumps PEGAPCDS87V1 Real Questions PEGAPCDS87V1 Practice Test PEGAPCDS87V1 Actual Questions
Pegasystems
PEGAPCDS87V1
Pega Certified Data Scientist (PCDS) 87V1
https://killexams.com/pass4sure/exam-detail/PEGAPCDS87V1
The implementation of Next-Best-Action must involve
inclusion of third party predictive models
defining a prioritization formula using contact policies
building a product catalog
defining business issue and group hierarchy
Answer: D
Explanation:
Reference: https://pegasystems2.https.internapcdn.net/pegasystems2/marketing/C-762-StudentGuide.pdf
Question: 148
To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity. Performance and Evidence.
The performance of an Adaptive Model that has not collected any evidence is .
1-0
null C. 0.5
D. 0.0
Answer: D
Question: 149
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
enables the company to generate random data for most of its application needs
generates data that the company can use as input for adaptive decisioning
combines external data sets into a larger data set
makes the organisation's live data accessible
Answer: A
Question: 150
When building a predictive model, what is a valid predictor data type?
Character
Symbolic
Boolean
String
Answer: B
Question: 151
Which component(s) do you use to calculate the average margin of four actions?
four Set Property components
one Set Property component
one Group By component
four Group By components
Answer: A
Question: 152
The Filter component is used to filter ,
adaptive models
attributes
action
customers
Answer: A
Question: 153
evidence an assessment of its viability, the Adaptive Model produces three outputs: Propensity, Performance and
What is evidence in the context of an Adaptive Model?
The likelihood of a statistically similar behavior
The number of customers who exhibited statistically similar behavior
The number of statistical bins used to evaluate the response
The number of customers who have responded to the modeled offer
Answer: D
Question: 154
To which property is the output of a PMML model automatically mapped?
pxSegment
pxResult
pxPMMLOutputd
pxOutcome
Answer: D
When executing a decision strategy, the dotted line arrow in a decision strategy means data is
copied to the component the arrow points to
referenced by the component the arrow points to
referenced by the component the arrow originates from
copied to the component the arrow originates from
Answer: B
Question: 156
A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards.
To extend the customer data model with the credit card product usage data, you need to ..
add a Field
add a Group
merge customer and credit card data
create a Provider
Answer: C
Question: 157
The process of importing a third-party predictive model into Pega is '
the; same as importing a Pega predictive model
to first convert it into the Pega markup language
simpler than importing a Pega predictive model
similar to importing an adaptive model
Answer: B
Question: 158
In a Prioritize component, the best action can be determined based on the value of
Customer,Value
Propensity
Average Margin
Customer.Income
Answer: A
Question: 159
In a Set Property component, the Rank value is determined by .
the order in which the actions are received
the data transform
the sequence in which it appears on the canvas
the default value of the Rank
Answer: D
Question: 160
What happens when you increase the performance threshold setting of an Adaptive Model rule?
The number of active predictors increases.
The correlation threshold decreases.
The performance of the model is increased.
The number of active predictors may decrease.
Answer: A
Explanation:
Reference: https://pegasystems2.https.internapcdn.net/pegasystems2/marketing/C-762-StudentGuide.pdf (248)
Question: 161
The Prioritize component always outputs
on arbitrary number of offers
top 1 offer
top 3 offers
all eligible offers
Answer: D
Explanation:
Reference: https://pegasystems2.https.internapcdn.net/pegasystems2/marketing/C-762-StudentGuide.pdf (81)
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