1). In a customer service center, how often does the Pega Customer Decision Hub™ calculate the Next-Best-Action for a customer?

a) Never. Next-Best-Action is calculated and recorded only after the call ends.
b) Every time new information about the customer is available.
c) Periodically, as configured in the system. Example: Every 10 seconds.
d) Only once, when the customer’s initial call intent is known.

2). Your company would like to predict credit risk using the historical data on customer behavior. Which is most appropriate rule type to use for this purpose?

a) Predictive model
b) Decision Table
c) Adaptive model
d) Interaction History

3). In a decision strategy, you are expected to calculate the average selling price of the propositions using the selling price proposition property. In which decision component group would you look for to select the right decisioning component for this task?

a) Arbitration
b) Import
c) Enrichment
d) Aggregation

4). To diverge the offer flow into two different paths based on the offer response you use the offer flow shape _______________.

a) Hand Off
b) Decision
c) Wait
d) Response Received

5) When we retrieve control group data, what is the value of the MktType property?

a) The keyword “ControlGroup”.
b) Name of the control group segment.
c) Control group validity information.
d) Control group membership value.

6) In a multi-channel campaign, the following artifacts are configured:
- Audience: 100 customers
- Strategy imports one proposition – Silver Credit card.
- Volume constraint limits the number of Silver Credit card to 50

When this campaign is launched, what is the maximum number of offer flow instances executed?

a) 1
b) 50
c) 100
d) None.

7). In a decision strategy, to select the top 3 propositions with highest cost, you use the decision component _______________.

a) Data Join
b) Switch
c) Prioritize
d) Filter

8). Which type of information must be passed by an external application when triggering a Real-time Event?

a) Segment ID
b) Event Name
c) Channel
d) Date and Time

9) The following are the age ranges of customers and the corresponding propensity to accept an offer. Customers in which age range are most likely to accept the offer.

a) age range: 35-44, propensity: 85%
b) age range: 25-34, propensity: 10%
c) age range: 60-80, propensity: 100%
d) age range: 45-59, propensity: 50%

10. What is the recommended method to prevent the execution of a Contact Policy?

a) Deactivate the offer flow
b) Delete the Contact Policy
c) Delete the Contact Policy decision component
d) Deactivate Contact Policy

Answers: