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Salesforce Revenue-Cloud-Consultant-Accredited-Professional Exam Sample Questions

Question # 1

What are the 3 common CPQ design mistakes to avoid while implementing CPQ for your customer?

A. Using price book entries to handle attribute based variations instead of lookup price rules

B. Designing the product catalog with SKU rationalization in mind

C. Creating process builders and flows to pass data between fields instead of using twin field mapping

D. Writing customizations for product selection or validation instead of using option constraints, product rules, and bundles.

E. Documenting logical architecture diagrams for data flow between systems

Answer

A. Using price book entries to handle attribute based variations instead of lookup price rules
C. Creating process builders and flows to pass data between fields instead of using twin field mapping
D. Writing customizations for product selection or validation instead of using option constraints, product rules, and bundles.

Explanation:

The three common CPQ design mistakes to avoid while implementing CPQ for your customer are:

A. Using price book entries to handle attribute based variations instead of lookup price rules: Price book entries are not designed to handle attribute-based variations. Instead, lookup price rules should be used. These rules allow you to adjust pricing based on specific product attributes, providing more flexibility and accuracy1.

C. Creating process builders and flows to pass data between fields instead of using twin field mapping: Process builders and flows can be complex and difficult to maintain. Instead, twin field mapping should be used. This feature allows you to map fields between objects, ensuring data consistency and reducing the need for custom code1.

D. Writing customizations for product selection or validation instead of using option constraints, product rules, and bundles: Customizations can be time-consuming and costly to implement and maintain. Instead, Salesforce CPQ provides built-in features like option constraints, product rules, and bundles that can handle product selection and validation. These features are designed to enforce business rules and ensure that only valid product combinations are selected1.

References:

https://inspireplanner.com/blog/5-common-salesforce-cpq-implementation-challenges-and￾how-to-avoid-them/

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Question # 2

what 3 design examples will negatively impact the scale and performance of the revenue cloud implementation?

A. multiple automation types (trigger/workflows, flows)on a single object

B. External API calls within the pricing sequence

C. extensive use of quote line custom fields

D. routine generation of quote having 200 quote lines

E. routine generation of invoices having 200 invoice lines

Answer

A. multiple automation types (trigger/workflows, flows)on a single object
B. External API calls within the pricing sequence
C. extensive use of quote line custom fields

Explanation:

The three design examples that will negatively impact the scale and performance of the Revenue Cloud implementation are:

A. Multiple automation types (trigger/workflows,flows) on a single object: Having multiple automation types on a single object can lead to complex and inefficient processes. This can slow down the system and negatively impact the performance and scalability of the Revenue Cloud implementation1.

B. External API calls within the pricing sequence: Making external API calls within the pricing sequence can introduce latency and potential points of failure. This can slow down the pricing process and negatively impact the performance and scalability of the Revenue Cloud implementation1.

C. Extensive use of quote line custom fields: Using a large number of custom fields can increase the complexity and size of the data model. This can slow down queries and negatively impact the performance and scalability of the Revenue Cloud implementation1.

References: 1

https://trailhead.salesforce.com/content/learn/modules/scalability-with-salesforce/understand-scalability-at-salesforce

Design examples that can negatively impact the scale and performance of the Revenue Cloud implementation include using multiple automation types on a single object, making external API calls within the pricing sequence, and extensively using custom fields on quote lines. Multiple automations on a single object can lead to complex logic processing and increased execution times, impacting overall system performance. External API calls within pricing sequences can introduce latency and potential points of failure, affecting the responsiveness and reliability of pricing calculations. Additionally, an excessive number of custom fields on quote lines can increase the data load and processing time during quote generation and manipulation, further degrading system performance. These design considerations are critical for maintaining optimal performance and scalability in Revenue Cloud implementations.

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Question # 3

Which 3 Customer Teams Should be invited to participate in scoping revenue cloud project?

A. Information Technology

B. Sales operations

C. Accounting and finance

D. Customer Service

E. Human Resource

Answer

A. Information Technology
B. Sales operations
C. Accounting and finance

Explanation:
When scoping a Revenue Cloud project, it's essential to involve key customer teams that will be impacted by or contribute to the implementation. These teams typically include Information Technology, which will handle the technical aspects of the implementation; Sales Operations, which is responsible for the processes and strategies surrounding the sales efforts; and Accounting and Finance, which will manage billing, invoicing, and financial reporting aspects of the solution. Involving these teams ensures that all necessary requirements are captured and that the solution aligns with the organization's technical capabilities and business processes.

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Question # 4

Universal containers recently migrated legacy contracts and subscriptions into salesforce in order to facilitate amendments and renewals in CPQ. However ,sales users are getting the ‘attempt to de-reference a null object’ error when amending the legacy contract. What is the most likely cause for the error?

A. Migrated contracts and subscriptions cannot be amended using salesforce CPQ

B. Amendment of legacy contract and subscription data requires asset-based renewal method

C. Required fields are missing or incorrectly populated on the legacy contract and subscription data

D. Legacy subscription data are missing a lookup to a source quote line record

Answer

C. Required fields are missing or incorrectly populated on the legacy contract and subscription data

Explanation:
The error ‘attempt to de-reference a null object’ typically occurs when there is an attempt to access a field or method on an object that has not been initialized or has been assigned a null value. In the context of Salesforce Revenue Cloud, when amending legacy contracts and subscriptions, this error can occur if required fields are missing or incorrectly populated on the legacy contract and subscription data. This could be due to incorrect data migration or manual data entry errors. It’s important to ensure that all required fields are correctly populated when migrating legacy data to Salesforce CPQ.

References

Error:Can’t renew the contract automatically because it … - Salesforce
Guidelines for Amending Contracts - Salesforce
Legacy Data Upload for Salesforce CPQ

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Question # 5

What are 3 risks when using too many cross-object formula fields in a revenue cloud project?

A. Formula fields have unlimited access to objects many relationships away which makes it vulnerable to data changes

B. Formula field are editable after the calculation completes the Sales user or process automation can overwrite its value

C. They can easily exceed limits if not carefully designed and tested

D. Formulas field data is not always available during CPQ quote calculation

E. They are computationally expensive

Answer

C. They can easily exceed limits if not carefully designed and tested
D. Formulas field data is not always available during CPQ quote calculation
E. They are computationally expensive

Explanation:

Cross-object formula fields are useful for accessing data from related objects, but they also have some drawbacks and risks, especially when used excessively in a revenue cloud project. Some of the risks are:

They can easily exceed limits if not carefully designed and tested. Cross-object formula fields count against the total number of fields allowed per object, and they also consume more resources than regular fields. If the formula is too complex or references too many objects, it can cause performance issues, errors, or failures. For example, a formula can only reference up to 10 unique relationships, and a record can only trigger up to 16 levels of cross-object formula updates. 12

Formula field data is not always available during CPQ quote calculation. CPQ quote calculation is a process that evaluates the pricing, discounts, taxes, and other factors of a quote. During this process, some cross-object formula fields may not have the latest data or may not be accessible at all, depending on the order of execution and the timing of the updates. This can lead to inaccurate or inconsistent results, or even prevent the quote from being calculated. 3

They are computationally expensive. Cross-object formula fields require more processing power and time than regular fields, as they need to query and calculate data from multiple objects and relationships. This can affect the overall performance and responsiveness of the revenue cloud project, especially when there are many cross-object formula fields involved. Additionally, cross-object formula fields can trigger cascading updates and validations, which can further increase the computational load and complexity. 4

References:

1: What Is a Cross-Object Formula? - Salesforce
2: Formula Operators and Functions - Salesforce
4: Create Cross-Object Formulas Unit | Salesforce Trailhead

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