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Question 12 - Certified Loyalty Management discussion

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What is the most efficient way to automatically reset qualifying points for high volume Loyalty Programs?

A.
The reset period is defined at the Tier Group level; Loyalty Management will automatically process it every night to ensure efficient point calculation
Answers
A.
The reset period is defined at the Tier Group level; Loyalty Management will automatically process it every night to ensure efficient point calculation
B.
Use the out-of-the-box 'Reset Qualifying Points'' data processing engine and trigger its execution using, for instance, a Schedule-Triggered Flow.
Answers
B.
Use the out-of-the-box 'Reset Qualifying Points'' data processing engine and trigger its execution using, for instance, a Schedule-Triggered Flow.
C.
Create Schedule-Triggered Flow that to be executed every night This flow will scan the expired reset Period at the Group Level and rese the points using the out-of-the-box Reset point flow action
Answers
C.
Create Schedule-Triggered Flow that to be executed every night This flow will scan the expired reset Period at the Group Level and rese the points using the out-of-the-box Reset point flow action
D.
Develop an Apex Time Trigger to scan all Member Currencies and reset Qualifying points every time a reset period has expire
Answers
D.
Develop an Apex Time Trigger to scan all Member Currencies and reset Qualifying points every time a reset period has expire
Suggested answer: B

Explanation:

The most efficient way to automatically reset qualifying points for high-volume Loyalty Programs is to use the out-of-the-box 'Reset Qualifying Points' data processing engine and trigger its execution using, for instance, a Schedule-Triggered Flow. This method leverages Salesforce's built-in capabilities to manage the reset process without the need for custom code. The data processing engine is designed to handle large volumes of data efficiently, ensuring that the points reset process is completed accurately and timely across all relevant member accounts.

asked 23/09/2024
Linda Müller
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