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Salesforce Exam Data Cloud Consultant Topic 3 Question 17 Discussion

Actual exam question for Salesforce's Data Cloud Consultant exam
Question #: 17
Topic #: 3
[All Data Cloud Consultant Questions]

Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV)

but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.

What should a consultant use to address this use case in Data Cloud?

Show Suggested Answer Hide Answer
Suggested Answer: D

Streaming insights are computed from real-time engagement events and can be used to trigger data actions based on pre-set rules. Data actions are workflows that send data from Data Cloud to other systems, such as Journey Builder. To ensure that the data action is triggered every hour, the consultant should set the insights aggregation time window to 1 hour. This means that the streaming insight will evaluate the events that occurred within the last hour and execute the data action if the conditions are met. The other options are not relevant for streaming insights and data actions.Reference:Streaming Insights and Data Actions Limits and Behaviors,Streaming Insights,Streaming Insights and Data Actions Use Cases,Use Insights in Data Cloud,6 Ways the Latest Marketing Cloud Release Can Boost Your Campaigns


by Zana at Jun 22, 2024, 12:06 PM

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Thaddeus
27 days ago
Wait, do I get bonus points if I can do all this in my head? I'm a data wizard, you know.
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Franklyn
14 days ago
A) Flow Orchestration
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Rory
1 months ago
C, Metrics on metrics, has got to be the answer. Gotta love some good old-fashioned metric-ception to solve this problem.
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Virgie
1 months ago
Hmm, I'm not sure. All the options sound kind of technical. I hope the exam doesn't get too complicated with all this data jargon!
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Britt
2 days ago
User 1: I think we should use nested segments for this.
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Carmen
1 months ago
D, Streaming data transform, seems like the most logical choice. Streaming data would allow for real-time analysis of the customer data across channels.
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Craig
20 days ago
I agree, real-time analysis is crucial for understanding customer behavior and revenue sources.
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Elden
29 days ago
D, Streaming data transform, seems like the most logical choice. Streaming data would allow for real-time analysis of the customer data across channels.
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Margo
2 months ago
I think option B, Nested segments, is the way to go here. It sounds like the best way to break down the customer data by different channels.
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Kristofer
1 days ago
Using Nested segments would definitely help in calculating the lifetime value of each customer and revenue breakdown by channels.
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Elizabeth
6 days ago
I think Nested segments would allow for a more detailed analysis of revenue from different channels.
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Ciara
1 months ago
I agree, option B, Nested segments, seems like the most appropriate choice for this use case.
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Nickole
2 months ago
I'm not sure, but Metrics on metrics could also be useful to calculate LTV.
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Rossana
2 months ago
I agree with Mila, Nested segments would help us break down the revenue sources.
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Mila
2 months ago
I think we should use Nested segments for this.
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