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| Section | Weight | Objectives |
|---|---|---|
| CPQ Configuration and Setup | 25% | - Set up pricing procedures and rule-based pricing - Configure Quote and Order management processes - Configure product rules, lookup filters, and validation rules - Manage document generation templates - Implement approval workflows and process automation |
| Testing and Deployment | 20% | - Implement deployment using Change Sets and packaging - Debug and troubleshoot CPQ issues and performance problems - Design and execute unit tests for CPQ customizations - Apply Salesforce Industries CPQ best practices and design patterns |
| Integration and Extensibility | 25% | - Configure event-driven integrations with Flow - Extend CPQ functionality using Apex and Lightning Web Components - Work with Salesforce Connect for external data integration - Implement CPQ APIs (Pricing API, Quote API) for custom integrations - Implement custom pricing logic with pricing calculators |
| Industries Data Model and Architecture | 30% | - Implement and manage CPQ data structures using Data Modeler - Manage pricing and attribute-based pricing (ABP) - Describe the Industries Data Model architecture and naming conventions - Work with Pricing Elements and calculation logic - Configure Product hierarchies, offerings, and bundles |
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NEW QUESTION # 265
Vlocity Cart requires what information to display a product list?
Note: This question displayed answer options in random order when taking this Test
Answer: C
Explanation:
In Vlocity, or Salesforce Industries CPQ, the cart configuration requires a Price List record ID to display a product list. This ID is crucial because it determines the pricing applicable to the products presented to the user based on the specific pricing configuration and eligibility. The cart leverages this ID to fetch the correct pricing information associated with each product, ensuring the displayed prices are accurate and tailored to the customer or the context of the sale. This process is integral to the dynamic pricing capability of Salesforce Industries CPQ.
NEW QUESTION # 266
Evaluation entity filters are used as "internal filters" for qualification entity filters.
Answer: B
Explanation:
Evaluation entity filters are not used merely as "internal filters" for qualification entity filters. Instead, evaluation entity filters and qualification entity filters serve different roles within Salesforce Industries CPQ.
Evaluation filters are used to process and evaluate data across different contexts and entities based on specific criteria, while qualification filters determine eligibility or appropriateness of specific entries for tasks or promotions, functioning independently of evaluation filters.
NEW QUESTION # 267
What data types are supported for context dimensions? (Choose THREE)
Note: This question displayedanswer options in random order when taking this Test.
Answer: B,D,E
Explanation:
The supported data types for context dimensions in Vlocity include Text, DateTime, and Integer. These data types are essential for defining the properties and characteristics that can be used to apply context rules:
* Text: Allows for the inclusion of alphanumeric characters which can be used for categorization or identification.
* DateTime: Useful for rules that depend on date and time conditions, such as promotions that are time- sensitive.
* Integer: Supports numerical values which are often used for quantitative conditions like thresholds or limits. These data types ensure that administrators can construct context rules that are capable of handling a variety of scenarios in a targeted and effective manner.
NEW QUESTION # 268
Which of these can be used to launch a guided selling process?
Answer: C
Explanation:
Launching a guided selling process in Salesforce Industries CPQ can be effectively achieved using a Vlocity action. These actions are configured within the Salesforce Industries platform and can be directly linked to OmniScripts or other processes that initiate guided selling scenarios. Actions can be set up to start based on various triggers or user interactions within the Salesforce environment, providing a versatile entry point for guided selling processes.
NEW QUESTION # 269
Which two actions should the developer take to troubleshoot this issue?
Choose 2 answers
Answer: A,C
Explanation:
When a developer prepares to test the rule by running the API cache job and it fails, the likely properties causing the issue are: A. Code: Incorrect or problematic code can lead to failures in the API cache job, as it might not be able to interpret or execute the commands correctly. D. Values for caching: If the values specified for caching are incorrect or not properly defined, it can cause the cache job to fail due to misconfiguration or data errors.
Ensuring that the code is correct and the caching values are appropriately set is crucial for the successful execution of API cache jobs in Salesforce Industries CPQ.
References:
* Salesforce CPQ API Developer Guide.
* Troubleshooting Common Issues in Salesforce CPQ.
NEW QUESTION # 270
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