Salesforce Consumer-Goods-Cloud-Accredited-Professional Echte Fragen - Consumer-Goods-Cloud-Accredited-Professional Musterprüfungsfragen

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Salesforce Consumer-Goods-Cloud-Accredited-Professional Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Platform: This topic tests familiarity with Salesforce platform features relevant to Consumer Goods Cloud, focusing on mobile capabilities that enhance field operations. The Salesforce Consumer Goods Cloud Consultant must understand platform functionalities that optimize user experience and support operational efficiency.
Thema 2
  • Analytics: In this topic, the Salesforce Consumer Goods Cloud Consultant must show proficiency in using analytics to extract actionable insights from sales data. Sub-topics include creating and interpreting dashboards to evaluate team performance, store performance, and product performance, driving informed decisions.
Thema 3
  • Integrations: This topic examines the consultant's expertise in integrating Consumer Goods Cloud with other Salesforce products and external systems. The focus is on managing data flow between systems to support seamless sales processes, demonstrating operational efficiency.
Thema 4
  • Visit Execution: This topic evaluates the ability of the Salesforce Consumer Goods Cloud Consultant to manage field visit workflows, including creating and executing Custom Tasks, overseeing Direct Store Delivery, and performing checks for Inventory, Planograms, and Promotions. Consultants must also demonstrate skill in using Surveys to gather insights during visits, ensuring adherence to store objectives.
Thema 5
  • Data Setup: In this topic, the Salesforce Consumer Goods Cloud Consultant demonstrates expertise in configuring data for effective operations. Proficiency is measured in areas such as Action Plan Setup, Planogram Setup, Product Setup, Promotion Setup, Retail Store KPI Setup, and Store Setup. Consultants must show the ability to configure these elements to ensure accurate and actionable data supports retail activities.

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Salesforce Consumer Goods Cloud Accredited Professional Consumer-Goods-Cloud-Accredited-Professional Prüfungsfragen mit Lösungen (Q88-Q93):

88. Frage
ABC Telecom uses Communications Cloud while its distributors use their own CRM system. ABC Telecom wants to share product catalog information, including technical descriptions of products from ABC Telecom's Communications Cloud. Distributors can then use this information to set up their own CRM product catalog.
What should a Consultant suggest as a starting point for this integration?

Antwort: A

Begründung:
In Communications Cloud, the single source of truth for commercial and technical products is the Enterprise Product Catalog (EPC). For external systems-like distributors' CRMs-to consume product specifications, offerings, attributes, technical details, and bundled components, Salesforce provides EPC REST APIs.
These APIs expose:
Product Offerings
Product Specifications
Commercial & technical attributes
Prices (optional depending on configuration)
Relationships and hierarchies
They are designed explicitly for external catalog synchronization, making them the ideal starting point for distributors to pull up-to-date product definitions.
Why others are incorrect:
A (Product2 APIs): Product2 is not used for Communications Cloud catalog; EPC uses Vlocity EPC objects.
B (TMF620): Salesforce EPC is not natively TMF620 compliant. TMF620 requires a mediation layer; using EPC APIs directly is the recommended starting point.
D (getCartProducts): CPQ APIs require a cart context and do not expose full catalog specs.


89. Frage
Which statement is correct about Consumer Goods- Einstein Visit Recommendations?

Antwort: A

Begründung:
Visit Recommendations are suggestions for field reps to visit certain stores based on predefined rules and criteria. One of the correct statements about Visit Recommendations is that they automatically take into consideration already created visits for the store, meaning that they do not recommend visiting a store that already has a scheduled or completed visit within a certain time frame. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 36.


90. Frage
Which three Consumer Goods Cloud(CGC) objects are linked to the product2 object in the CGC data model?

Antwort: A,B,D


91. Frage
Where would a Consumer Goods Cloud Admin need to establish the expected value for the planogram metrics?

Antwort: C

Begründung:
The object where a Consumer Goods Cloud Admin needs to establish the expected value for the planogram metrics is Assessment Indicator Definition. A planogram is a visual representation of how products should be arranged on a shelf. A planogram metric is a measure of how well the actual shelf image matches the expected planogram image. An Assessment Indicator Definition is an object that defines an indicator or metric that can be used to assess the performance or compliance of a retail store or an action plan task. By creating an Assessment Indicator Definition for the planogram metric, such as out of stock, share of shelf, or SKU facings, an admin can establish the expected value for that metric and use it to calculate the actual value based on the shelf image. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.


92. Frage
Universal Connect (UC) offers residential high-speed Internet to its customers. UC has a commercial attribute called "Access Type" on the internet offer with two values, namely DSL and Fiber. UC has a requirement to model routers as technical products and offer either a DSL or a Fiber router based on the "Access Type" value.
What kind of decomposition relationship should a Consultant recommend to achieve this requirement?

Antwort: B

Begründung:
The requirement is:
A single commercial product (Internet)
Has an attribute Access Type = DSL or Fiber
Must decompose into the appropriate router technical product (DSL Router OR Fiber Router) This is a classic 1:M decomposition pattern, where one commercial product instance may decompose into one of many possible technical product instances, based on rules or attributes.
Using a 1:M decomposition with conditional rules:
If Access Type = DSL → create DSL Router
If Access Type = Fiber → create Fiber Router
Why others are incorrect:
1:1 (B): does not allow attribute-based branching into different technical products.
M:M (C): used for many-to-many relationships - not applicable here.
M:1 (D): merges multiple commercial products into a single technical product - opposite of what is required.


93. Frage
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