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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: New Release Capabilities | 3% | - Understand impacts of new features on existing designs - Implement solutions aligned with current available capabilities |
| Topic 2: Revenue Cloud Implementation Management | 29% | - Manage build, test, deployment and support phases - Lead scoping sessions and capture business requirements - Document solution design and implementation roadmap |
| Topic 3: Revenue Cloud Technical Design | 68% | - Analyze legacy data impact and migration considerations - Identify and assess project risks and mitigation strategies - Design CPQ and Billing solutions aligned with managed package capabilities - Evaluate when customization is appropriate versus standard functionality |
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NEW QUESTION # 102
What does INVEST stand for in the INVEST criteria when defining user stories?
Answer: A
Explanation:
INVEST is an acronym that stands for Independent, Negotiable, Valuable, Estimable, Small, and Testable12. It is a set of criteria used to assess the quality of a user story in Agile methodologies12. Here's what each term means:
* Independent: The user story should be self-contained, in a way that there is no inherent dependency on another user story12.
* Negotiable: User stories, up until they are part of an iteration, can always be changed and rewritten12.
* Valuable: A user story must deliver value to the end user12.
* Estimable: You must always be able to estimate the size of a user story12.
* Small: User stories should not be so big as to become impossible to plan/task/prioritize with a certain level of certainty12.
* Testable: The user story or its related description must provide the necessary information to make test development possible12. References: 12
NEW QUESTION # 103
Universal Containers has recently implemented and released CPQ to users in their production environment.
After an extensive testing Cycle in a sandboxed environment.
One of the automations implemented was to set every new quote created as "primary" at the time of creation in order to save clicks. Users immediately began to report errors when trying to create quotes in the production environment for the first time. What could have caused this issue?
Answer: A
NEW QUESTION # 104
A product has a list price of US$15,000. An attribute-based price override of $12,000 is applied first, followed by a $1,000 bundle based adjustment discount and a 10% manual discount at the end of the product sale.
What will be the final price of the product shown in the net price column of the Transaction Line Editor of a quote line item for this product?
Answer: B
NEW QUESTION # 105
what 3 design examples will negatively impact the scale and performance of the revenue cloud implementation?
Answer: B,C,D
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 slowdown 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 quotelines 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.
NEW QUESTION # 106
Universal Containers sell boxes based on size, Price for a specific product is based on theselection of length and width and height, which cpq pricing functionality should be usedhere?
Answer: A
NEW QUESTION # 107
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