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Question 228 - Certified Data Architect discussion

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Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:

Data will be used to drive marketing and product development initiatives.

NTO estimates that the program will generate 100 million rows of date monthly.

NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.

What should the Data Architect do to store, collect, and use the reward program data?

A.
Create a custom big object in Salesforce which will be used to capture the Reward Program data for consumption by Einstein.
Answers
A.
Create a custom big object in Salesforce which will be used to capture the Reward Program data for consumption by Einstein.
B.
Have Einstein connect to the point of sales system to capture the Reward Program data.
Answers
B.
Have Einstein connect to the point of sales system to capture the Reward Program data.
C.
Create a big object in Einstein Analytics to capture the Loyalty Program data.
Answers
C.
Create a big object in Einstein Analytics to capture the Loyalty Program data.
D.
Create a custom object in Salesforce that will be used to capture the Reward Program data.
Answers
D.
Create a custom object in Salesforce that will be used to capture the Reward Program data.
Suggested answer: A

Explanation:

According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery. Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects. Option D is incorrect because custom objects are not suitable for storing large volumes of data.

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asked 23/09/2024
Rui Carrapico
33 questions
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