Pegasystems PEGACPDC25V1最新試験情報 & PEGACPDC25V1模擬試験サンプル

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Pegasystems PEGACPDC25V1 Exam Syllabus Topics:

SectionWeightObjectives
Engagement policies15%- Customer engagement rules
  • 1. Define customer engagement policies
  • 2. Create an engagement strategy
  • 3. Customer journeys
AI and arbitration12%- Decision optimization
  • 1. Prioritize actions
  • 2. Apply arbitration logic
  • 3. Use AI in decisioning
Next-Best-Action concepts12%- One-to-one customer engagement
  • 1. Optimize the customer value in the contact center
  • 2. Customer engagement blueprint
  • 3. Define the starting population
  • 4. Optimize the next-best-action strategy
  • 5. Essentials of always-on outbound
Actions and treatments12%- Manage customer actions
  • 1. Define an action for outbound
  • 2. Present a single offer on the web
  • 3. Define and manage customer actions
Business agility in one-to-one customer engagement12%- Agile customer engagement
  • 1. Support business-driven changes
  • 2. Adapt engagement strategies quickly
  • 3. Optimize customer experiences
Channels10%- Multi-channel engagement
  • 1. Cross-channel engagement
  • 2. Outbound channel setup
  • 3. Web channel configuration
Contact policy and volume constraints13%- Contact governance
  • 1. Apply volume constraints
  • 2. Configure contact policies
  • 3. Control customer contact frequency
Decision strategies14%- Strategy design
  • 1. Test decision logic
  • 2. Use predictive analytics
  • 3. Build decision strategies

>> Pegasystems PEGACPDC25V1最新試験情報 <<

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Pegasystems Certified Pega Decisioning Consultant 25 認定 PEGACPDC25V1 試験問題 (Q15-Q20):

質問 # 15
Regional Bank has a fully implemented 1:1 customer engagement solution that is in the business-as-usual phase. A business user from this bank identifies the need for a new promotional offer for customers who regularly use mobile banking services. The user has detailed requirements including eligibility criteria, treatment messaging, and implementation timeline.
Which process should the business user follow to implement the new action?

正解：C


質問 # 16
U+- Bank uses Next-Best-Action Designer to configure engagement policies for different customer segments.
A business user wants to create reusable policy conditions that can apply across multiple actions and campaigns. The user must understand when the save-to-library feature is available.
When is the save-to-library option unavailable for engagement policy conditions?

正解：A


質問 # 17
In a decision strategy, to use a customer property in an expression, you

正解：A

解説：
In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages
& Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified References: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies


質問 # 18
The U+ Bank marketing department currently promotes various home loan offers to qualified customers. Now, the bank does not want customers to receive more than four promotional emails per quarter, regardless of past responses to that action by the customer.
Which option allows you to implement the business requirement?

正解：C

解説：
Volume constraints allow you to limit the number of times an action is presented to customers across one or more channels. You can use volume constraints to implement the requirement that customers do not receive more than four promotional emails per quarter, regardless of past responses to that action by the customer. You can configure the volume constraint to limit the number of actions per channel per quarter and select the option to ignore previous responses. Outbound channel limits are used to limit the number of customers contacted per channel per run, not per quarter. Suppression policies are used to exclude customers from receiving an action based on certain conditions, such as opt-out preferences or recent purchases, not based on the number of times the action is presented. Suitability rules are used to determine whether an action is suitable for a customer based on their propensity, priority, or other criteria, not based on the number of times the action is presented.


質問 # 19
In a decision strategy, to use a customer property in an expression, you

正解：A

解説：
In a decision strategy, to use a customer property in an expression, you need to define Customer page in Pages & Classes and specify its class as Data-Customer. This allows you to access customer properties by using dot notation, such as Customer.Age or Customer.Gender. You do not need to define the property as a strategy property, use it without any prefix, or prefix it with the keyword Customer. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Decision strategies


質問 # 20
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