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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Channels	10%	- Multi-channel engagement 1. Outbound channel setup 2. Web channel configuration 3. Cross-channel engagement
Topic 2: AI and arbitration	12%	- Decision optimization 1. Use AI in decisioning 2. Apply arbitration logic 3. Prioritize actions
Topic 3: Decision strategies	14%	- Strategy design 1. Build decision strategies 2. Test decision logic 3. Use predictive analytics
Topic 4: Contact policy and volume constraints	13%	- Contact governance 1. Control customer contact frequency 2. Apply volume constraints 3. Configure contact policies
Topic 5: Next-Best-Action concepts	12%	- One-to-one customer engagement 1. Essentials of always-on outbound 2. Define the starting population 3. Optimize the customer value in the contact center 4. Optimize the next-best-action strategy 5. Customer engagement blueprint
Topic 6: Actions and treatments	12%	- Manage customer actions 1. Define and manage customer actions 2. Present a single offer on the web 3. Define an action for outbound
Topic 7: Engagement policies	15%	- Customer engagement rules 1. Create an engagement strategy 2. Customer journeys 3. Define customer engagement policies
Topic 8: Business agility in one-to-one customer engagement	12%	- Agile customer engagement 1. Adapt engagement strategies quickly 2. Optimize customer experiences 3. Support business-driven changes

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PEGACPDC25V1 Exam Objectives - Exam PEGACPDC25V1 Details

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Pegasystems Certified Pega Decisioning Consultant 25 Sample Questions (Q98-Q103):

NEW QUESTION # 98
U+ Bank implemented a customer journey for Its customers. The journey consists of five stages. The bank observes that as customers progress through the journey, one customer entered the third stage of the Journey, and then received an offer that is not included in any journey.
Which statement explains the cause of this behavior?

A. The bank implemented upweighting for the third stage.
B. The customer can be Involved in only one active journey at a given moment.
C. The customer always receives the most relevant action, even if an action is not a part of any journey.
D. The customer was not eligible for the last stage of the journey and the system presented an offer outside the journey.

Answer: C

NEW QUESTION # 99
The U+ Bank marketing department wants to leverage the next-best-action capability of Pega Customer Decision Hub on its website to promote new offers to each customer.
Place the events in the sequential order.

Answer:

Explanation:
A screenshot of a chat AI-generated content may be incorrect.

NEW QUESTION # 100
As a decisioning architect, you have built a decision strategy that selects actions that are below the average printing cost. The decision strategy contains 'Black Label', 'Red Label,' and 'Blue Label" Proposition components. The printing cost of the Proposition components are calculated based on the 'BaseCost' and
'LetterCount*.

The details of the proposition components are provided in the following table:

Which propositions does the strategy output?

A. Black Label
B. Black Label and Blue Label
C. Black Label and Red Label
D. Red Label

Answer: C

NEW QUESTION # 101
MyCo, a mobile company, uses Pega Customer Decision Hub'" to display offers to customers on its website.
The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.

The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what must you do to present offers from the two groups'

A. Map a real-time container to the Top-level or Issue-level.
B. Set contact limits for both the groups.
C. Create a decision strategy at the Issue-level.
D. Enable an engagement policy for the second group.

Answer: A

NEW QUESTION # 102
In the Impact Analyzer tool, what does It mean when the overall health Indicator of the next best action has a red highlight?

A. The next best action needs further optimization.
B. The experiment has insufficient data.
C. The tool is not functioning properly.
D. The next best action Is performing exceptionally well.

Answer: A

NEW QUESTION # 103
......

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