Pega CPDC Certification Exam Sample Questions

CPDC Dumps PDF, Decisioning Consultant Dumps, download PEGACPDC88V1 free Dumps, Pega Decisioning Consultant exam questions, free online PEGACPDC88V1 exam questionsYou have to pass the CPDC exam to receive the certification from Pega. To increase the effectiveness of your study and make you familiar with the actual exam pattern, we have prepared this Pega Decisioning Consultant sample questions. Our Sample Certified Pega Decisioning Consultant Practice Exam will give you more insight about both the type and the difficulty level of the questions on the Pega PEGACPDC25V1 exam.

However, we are strongly recommending practice with our Premium Certified Pega Decisioning Consultant (CPDC) Practice Exam to achieve the best score in your actual Pega CPDC Exam. The premium practice exam questions are more comprehensive, exam oriented, scenario-based and exact match of Certified Pega Decisioning Consultant exam questions.

Pega Decisioning Consultant Sample Questions:

01. A credit union wants its live prioritization logic (the champion) to keep serving most customers while a new variant is tried on a small share of traffic, so the two can be compared before a full switch.
Which strategy canvas shape is designed for this?
a) Switch
b) Champion-Challenger
c) Scorecard
d) Sub-strategy
 
02. A grocery loyalty program relies on Customer Decision Hub to choose which offer each shopper sees, and the system keeps learning from whether shoppers accept or ignore offers.
What does a self-learning adaptive model provide to the next-best-action decision?
a) The suppression window from contact policy that limits how often the action is shown
b) The business value factor that the enterprise assigns to the action in arbitration
c) The channel-specific rendering, or treatment, that presents the action
d) The propensity — a continuously learned likelihood that the customer will respond positively to the action
 
03. A retail bank wants to nudge Next-Best-Action prioritization toward a strategic green-mortgage action so it is offered more often, but without disabling or overriding the AI that scores customer responses.
Which two statements are true about using business levers to do this?
(Choose 2.)
a) The adaptive model's propensity still contributes to the action's priority; the lever tunes the ranking rather than replacing the AI
b) Setting a lever retrains the adaptive model so that it learns to predict a higher propensity for the green-mortgage action
c) A business lever applies a manual weighting that boosts the action's priority within the arbitration formula
d) A lever guarantees the action is delivered to every eligible customer regardless of contact policy or volume constraints
 
04. A telco is documenting the elements of its 1:1 business-agility operating model so non-technical staff can safely evolve the running solution.
Which elements belong to that CDH business-agility model?
(Choose 3.)
a) Change requests as the managed unit of business change
b) Recalibrating adaptive-model math by hand in Prediction Studio before each release
c) 1:1 Operations Manager as the business-user app for managing actions and treatments
d) Mandatory full application redeployment by IT for every routine offer edit
e) Revision Management governing safe, staged changes to the live solution
 
05. A telco wants to send a personalized upgrade offer by SMS to a defined audience overnight, with the offer for each customer decided in a scheduled run rather than when the customer happens to be browsing.
Which channel approach delivers this?
a) A real-time container listening on the SMS inbox that fires a next-best-action decision when the customer opens a message
b) A business lever applied during arbitration to raise the upgrade offer's priority so it is texted out
c) A contact policy suppression rule that caps how many SMS messages each customer receives per week
d) An outbound (batch) run that decides actions for the audience and delivers them through the SMS channel
 
06. A utility is comparing how decisions are made for its inbound website (served through a real-time container) versus its overnight outbound campaigns.
Which two statements correctly describe real-time inbound decisioning through a real-time container compared with outbound batch runs?
(Choose 2.)
a) A real-time container can only be used for outbound email and SMS delivery on a nightly schedule, never for inbound web
b) The same central decisioning brain and arbitration are reused; only the delivery timing and channel differ
c) Real-time container decisions are always computed ahead of time on a schedule and stored for later display
d) The action is selected at the moment the customer interacts, in response to a live request from the channel
 
07. A utility's decision strategy must remove any action whose service region does not match the customer's region before the remaining actions are ranked.
Which strategy canvas shape performs this removal?
a) Data Import
b) Set Property
c) Prioritize
d) Filter
 
08. An airline loyalty program wants to re-engage members who have not opened the app in 60 days by proactively reaching them with a bonus-miles offer. These members are not currently browsing any owned digital property.
Which channel mechanism fits this goal, and why?
a) An outbound run over the dormant-member audience that delivers the offer by email or SMS, because a real-time container fires only when the customer is actively interacting with an inbound placement
b) A business lever, because it boosts the bonus-miles offer's arbitration priority high enough that dormant members are contacted without any outbound run
c) A volume constraint, because it governs who receives outbound messages and can therefore be pointed at the dormant-member audience to deliver the bonus-miles offer
d) A real-time container placed on the app home screen that proactively pushes the bonus-miles offer to dormant members even while the app is closed and they are not browsing
 
09. For a particular banking customer, two eligible actions are ranked. Action X has higher AI propensity but modest business value; Action Y has lower propensity but the business has applied a lever and it carries higher value, giving Y the higher overall priority score.
Which conclusion is best supported by how arbitration works?
a) Value is irrelevant to the priority score once the propensity of each eligible action is known to arbitration
b) Action X must win outright because it carries the highest AI propensity, and propensity alone determines the arbitration winner
c) Business levers override the AI entirely, so propensity plays no part in the final ranking or the priority score
d) Arbitration multiplies propensity, context weight, value, and levers, so a lower-propensity action can still win when value and levers outweigh the gap
 
10. You are reviewing a decision strategy on the strategy canvas and inspecting what each shape produces.
What does a Prioritize shape output?
a) A numeric count of prior interactions aggregated per group of actions
b) A ranked set of actions ordered by a prioritization expression, selecting the top action(s)
c) A single property value derived and written onto each action in the strategy
d) A subset of actions with those failing a condition removed before ranking

Answers:

Question: 01
Answer: b		 Question: 02
Answer: d		 Question: 03
Answer: a, c		 Question: 04
Answer: a, c, e		 Question: 05
Answer: d
Question: 06
Answer: b, d		 Question: 07
Answer: d		 Question: 08
Answer: a		 Question: 09
Answer: d		 Question: 10
Answer: b

If you find any errors or typos in Certified Pega Decisioning Consultant (CPDC) sample question-answers or online Pega PEGACPDC25V1 practice exam, please report them to us on feedback@processexam.com

Your rating: None Rating: 4.8 / 5 (113 votes)