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Pegasystems Current PEGACPDS88V1 Exam Content

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The PEGACPDS88V1 certification exam is an excellent opportunity for individuals who want to validate their knowledge and skills in predictive analytics and Pega’s predictive analytics tools. The certification can help individuals advance their careers in data science and open up new opportunities for them in the field.

>> Current PEGACPDS88V1 Exam Content <<

Quiz 2023 Pegasystems PEGACPDS88V1: Certified Pega Data Scientist 88V1 First-grade Current Exam Content

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To be eligible for the PEGACPDS88V1 exam, candidates must have a basic understanding of data science concepts and techniques. They must also have experience working with Pega’s platform and its tools. Candidates can enroll in Pega’s training courses to gain the necessary skills and knowledge to pass the exam. Pega offers both self-paced and instructor-led courses, which cover various topics related to data science and Pega tools.

The Pegasystems PEGACPDS88V1 exam is a certification test designed for data scientists who want to prove their proficiency in Pega’s data analytics tools. Passing this exam demonstrates that the candidate has the necessary skills and knowledge to work with Pega’s predictive analytics and machine learning capabilities. With the rise of big data and the increasing demand for data scientists, this certification has become an essential credential for those looking to advance their career in the field.

Pegasystems Certified Pega Data Scientist 88V1 Sample Questions (Q11-Q16):

NEW QUESTION # 11
The Pega Customer Decision Hub delivers Next-Best-Actions consistently through multiple channels. To which of the following channels does this apply?

  • A. Billboard
  • B. Mobile
  • C. Cable television
  • D. Traditional newspaper

Answer: B

Explanation:
Explanation
The Pega Customer Decision Hub delivers Next-Best-Actions consistently through multiple channels. This applies to Mobile channels.

NEW QUESTION # 12
When compared to a Predictive Model, an Adaptive Model is different as it_____________

  • A. considers both symbolic and numeric predictors
  • B. uses predictor binning
  • C. can use strategy properties as predictors
  • D. learns from both positive and negative outcomes

Answer: C

Explanation:
Explanation
An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc. References:
https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-m

NEW QUESTION # 13
Lift is key metric for the performance of the adaptive models.
To measure lift, you need a____________

  • A. Standard model as a benchmark
  • B. New adaptive model
  • C. Control group with random actions
  • D. Control group with a new action

Answer: C

Explanation:
Explanation
Lift is a key metric for the performance of the adaptive models. To measure lift, you need a control group with random actions. Lift is the ratio of the performance of the adaptive model to the performance of the control group. A control group is a subset of customers who receive random actions instead of the ones suggested by the model. References:
https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#data-/data-adm-/data-adm-model

NEW QUESTION # 14
A strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group. He would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy. What is the minimum number of Proposition Data components he needs to use in his strategy?

  • A. twelve
  • B. three
  • C. two
  • D. one

Answer: B

Explanation:
Explanation
If a strategy designer has created 10 actions in the Sales/Credit Cards group and 10 actions in the Sales/Mortgages group and would like to import all 10 actions from the Credit Cards group and only two actions from the Mortgage group into one decision strategy, the minimum number of Proposition Data components he needs to use in his strategy is three.

NEW QUESTION # 15
Which statement about predictive models is true?

  • A. You need past experience to create a predictive model.
  • B. They are always associated with a proposition.
  • C. They need unstructured big data.
  • D. They need to be specified in a data attribute.

Answer: A

NEW QUESTION # 16
……

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