PEGAPCDC80V1 Exam Details

  • Exam Code
    :PEGAPCDC80V1
  • Exam Name
    :Certified Pega Certified Decisioning Consultant (PCDC) 80V1
  • Certification
    :Pegasystems Certifications
  • Vendor
    :Pegasystems
  • Total Questions
    :60 Q&As
  • Last Updated
    :Jul 08, 2026

Pegasystems PEGAPCDC80V1 Online Questions & Answers

  • Question 21:

    In a strategy, how can you check if a customer rejected a proposition?

    A. Check if ".pyRejected" value is equal to "True".
    B. Check if ".pyOutcome" value is equal to "Rejected".
    C. Check if ".pyResponse" value is equal to "Rejected".
    D. Check if ".pyResult" value is equal to "Rejected".

  • Question 22:

    MyCo, a telecom company, has introduced 1GB and 3GB data plans in one of their stores and on the website. MyCo decides to use adaptive models for both offers.

    As a Strategy Designer, you are interested in how the models are performing in different channels.

    Which three tasks could you perform? (Choose Three)

    A. Check the performance of the 3GB data plan for the last month.
    B. Execute a simulation in Visual Business Designer and compare, in delta mode, the performance difference between the 1GB and 3GB data plans.
    C. Change the decision strategy because the performance in the web and store differs significantly.
    D. Identify the models that are performing well or poorly in the store channel.
    E. Examine the active and inactive predictors for the 1GB data plan model.

  • Question 23:

    In order to associate an Adaptive Model with each proposition, you need to ____________.

    A. link all propositions with an Adaptive Model decision component
    B. create an Adaptive Model rule for each proposition
    C. capture the customer's response
    D. define the Adaptive Model instances in Adaptive Decision Manager

  • Question 24:

    U+, a telecom company, introduces fiber optic in the North region of the country. They want to advertise this on their website using a banner and targeting the customers living in that area. When configuring Next-Best-Action designer, which targeting approach should the company select?

    A. Proposition driven
    B. Audience driven
    C. Eligibility driven
    D. Analytics driven

  • Question 25:

    A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy on legal concepts. What is a taxonomy?

    A. A sentiment analysis model
    B. The output of an expert survey
    C. A list of valid categories
    D. A list of business rules

  • Question 26:

    To access a property from an unconnected component, you use the ____________.

    A. dot-property value directly
    B. component-dot-property construct
    C. property value
    D. customer dot-property construct

  • Question 27:

    Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?

    A. Optimizing supply chain management
    B. Determining if a borrower gets a loan
    C. Predicting the time of a machine failure
    D. Determining how to optimize inventories

  • Question 28:

    Two results of an adaptive model are ________________.

    A. Priority and Evidence
    B. Propensity and Rank
    C. Priority and Propensity
    D. Propensity and Performance

  • Question 29:

    DRAG DROP

    A financial institution wants to offer a new exclusive credit card to customers who have spent over USD 1000 in the last six months and have not received an offer for another card. Put the components in the correct order to accomplish this task.

    Select and Place:

  • Question 30:

    A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted on Twitter every day, and it is not practical for customer service representatives (CSRs) to

    review and respond to all messages. Instead, CSRs should focus on negative messages.

    What do you need to analyze the incoming messages?

    A. A text analyzer
    B. A text outcome filed
    C. An adaptive model for each negative response
    D. Historical data to build a predictive model

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