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Pegasystems PEGACPDC25V1 Exam Overview:

Certification Vendor:Pegasystems
Exam Name:Certified Pega Decisioning Consultant 25
Exam Number:PEGACPDC25V1
Exam Format:Multiple Choice
Exam Duration:90 minutes
Passing Score:70%
Exam Price:USD $190
Real Exam Qty:60
Certificate Validity Period:No expiration announced
Related Certifications:Certified Pega Data Scientist
Certified Lead Pega Decisioning Architect
Available Languages:English
Sample Questions:Pegasystems PEGACPDC25V1 Sample Questions
Exam Way:Online proctored exam through Pearson VUE
Pre Condition:Completion of the Decisioning Consultant learning mission is recommended.
Official Syllabus URL:https://academy.pega.com/exam/certified-pega-decisioning-consultant-5

>> PEGACPDC25V1ブロンズ教材 <<

Pegasystems PEGACPDC25V1日本語的中対策 & PEGACPDC25V1関連試験

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Pegasystems PEGACPDC25V1 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • アクションと処理:ウェブおよびアウトバウンドチャネルにおける顧客の行動の定義と管理に重点を置く。
トピック 2
  • 意思決定戦略:意思決定エンジンを強化するために、ビジネスロジックを用いた意思決定戦略の構築に重点を置く。
トピック 3
  • 次善策の概念:1対1のエンゲージメントの基本、コンタクトセンターの最適化、常時稼働のアウトバウンド戦略、次善策の最適化について解説します。
トピック 4
  • エンゲージメントポリシー:顧客との接触のタイミングと頻度を規定するエンゲージメントポリシー、戦略、およびカスタマージャーニーの策定について説明します。

Pegasystems Certified Pega Decisioning Consultant 25 認定 PEGACPDC25V1 試験問題 (Q49-Q54):

質問 # 49
U+ Bank, a retail bank, presents offers on its website by using Pega Customer Decision Hub. The bank wants to leverage Customer Decision Hub capabilities to present relevant offers to qualified customers. As a decisioning consultant, you are responsible for configuring the business requirements with the Next-Best- Action Designer, which involves several tasks. To accomplish these tasks, you might have to use auto- generated decision strategies, create new decision strategies, or edit existing strategies.
In the Answer Area, select the correct execution for each Task.

正解:

解説:
A screenshot of a computer screen Description automatically generated


質問 # 50
In the following figure, a volume constraint uses the Return any action that does not exceed constraint mode with the three following action type constraints that have remaining limits:
1.Maximum 50 Daily with Action: Protect Your Device, 5 remaining
2.Maximum 75 Daily with Action: MyFone Buds, 7 remaining
3.Maximum 25 Daily with Action: MyFone AirPods Pro, 0 remaining
A customer, CUST-01, qualifies for all the three actions. Given this scenario, how many actions does the system select for CUST-01 in the outbound run?

正解:D


質問 # 51
A declsioning architect wants to use the customer properties Gender and MonthlyAverageUsage in a Data Join component. Which decision component is required to enable access to these properties?

正解:D


質問 # 52
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?

正解:B

解説:
To present offers from the two groups, you must map a real-time container to the Top-level or Issue-level. A real-time container is a configuration that defines how to deliver offers and treatments to a specific channel, such as a website or a mobile app. By mapping a real-time container to the Top-level or Issue-level, you can enable all the offers under that level to be available for delivery through that channel. Verified Reference: Pega Academy - Decisioning Consultant - Configuring real-time containers


質問 # 53
U+ Bank presents various credit card offers to its customers on its website. The bank uses AI to prioritize the offers according to customer behavior. With the introduction of the Gold credit card offer, the offer click- through propensity decreased to 0.42.
What does the decrease in the propensity value most likely indicate?

正解:B

解説:
The propensity is a measure of how likely a customer is to accept an offer, based on their attributes and behaviors. The propensity is calculated by using predictive analytics models that learn from historical data and feedback. A low propensity value indicates that the offer is not relevant or attractive for the customer, and that similar customers have ignored or rejected the offer in the past. Therefore, if the offer click-through propensity decreased to 0.42, it most likely indicates that similar customers ignore the offer. Verified References: Pega Decisioning Consultant | Pega Academy


質問 # 54
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