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Question 65 - Certified Revenue Cloud Consultant Accredited Professional discussion

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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
Answers
A.
multiple automation types (trigger/workflows,flows)on a single object
B.
External API calls within the pricing sequence
Answers
B.
External API calls within the pricing sequence
C.
extensive use of quote line custom fields
Answers
C.
extensive use of quote line custom fields
D.
routine generation of quote having 200 quote lines
Answers
D.
routine generation of quote having 200 quote lines
E.
routine generation of invoices having 200 invoice lines
Answers
E.
routine generation of invoices having 200 invoice lines
Suggested answer: A, B, C

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.

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.

asked 23/09/2024
Rodrigo Serrano dos Santos
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