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Salesforce Certified Marketing Cloud Engagement Consultant (MCE-Con-201) Exam - Topic 9 Question 80 Discussion

Actual exam question for Salesforce's Salesforce Certified Marketing Cloud Engagement Consultant (MCE-Con-201) exam
Question #: 80
Topic #: 9
[All Salesforce Certified Marketing Cloud Engagement Consultant (MCE-Con-201) Questions]

A customer wants to improve the previous 10 years purchase data n their Marketing Cloud account. Through discovery, it is determined there are over 200 million records they plan to upload via the REST API, and this volume will continue to grow as the current purchase data is added.

Which two questions should be asked for further discovery?

Choose 2 answers

Show Suggested Answer Hide Answer
Suggested Answer: B, D

How many API calls are expected to be made at peak hourly rate? This question will help determine if they have enough API limits and bandwidth for importing large volumes of data via REST API into Marketing Cloud. The REST API has limits on how many requests can be made per hour per account based on license type and edition.

Why do they require 10 years' historical data in Marketing Cloud? This question will help determine if they have a valid business case and use case for importing large volumes of historical data into Marketing Cloud. Depending on their marketing objectives and strategies, they may not need 10 years' historical data in Marketing Cloud, which could reduce their storage needs and costs.

What time of day are the API calls made is not relevant to determining a solution for importing large volumes of data via REST API into Marketing Cloud, as it does not affect how data is imported or processed. Whether someone needs to be notified if an error happens on import is not relevant to determining a solution for importing large volumes of data via REST API into Marketing Cloud, as it does not affect how data is imported or processed. Reference: https://help.salesforce.com/s/articleView?id=sf.mc_overview_large_data_extensions.htm&type=5 https://developer.salesforce.com/docs/atlas.en-us.noversion.mc-apis.meta/mc-apis/using_the_rest_api.htm


Contribute your Thoughts:

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Man
3 months ago
Are they sure they can handle that data load? Sounds risky.
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Micheline
3 months ago
How many API calls are we talking about? That sounds like a lot!
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Becky
3 months ago
Wait, why do they need 10 years of data? Seems excessive.
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Celeste
4 months ago
I agree, understanding API call volume is crucial too!
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Breana
4 months ago
Definitely need to know about the License and Large Extensions feature.
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Myra
4 months ago
The time of day for API calls sounds important too. I think it could affect performance, but I can't recall if we practiced that specific scenario.
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Lawrence
4 months ago
I feel like asking why they need 10 years of data could give us insight into their goals, but I'm not completely confident that's a priority question.
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Cyril
4 months ago
I'm not entirely sure, but I remember something about the Large Extensions feature. We might need to confirm if their license covers that.
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Lino
5 months ago
I think we should definitely ask about the API calls expected to be made. That seems crucial for understanding the load.
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Isreal
5 months ago
Why do they need 10 years of historical data? That seems like a crucial detail to understand the business requirements. I'll be sure to ask about that.
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Paris
5 months ago
The Large Extensions feature is an interesting one - that could be relevant if they're dealing with such a massive data set. I'll make sure to explore that possibility.
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Lili
5 months ago
Okay, the question is asking about what additional questions we should ask for further discovery. I think the API call volume and timing are important factors to understand.
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Regenia
5 months ago
Hmm, this seems like a tricky one. I'll need to think carefully about the key information they're looking for here.
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Gladys
5 months ago
Based on the information provided, I believe option A is the most appropriate solution to recommend.
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Glory
5 months ago
The mapping of a robust business architecture seems to indicate a need for complexity, which suggests we wouldn't go lightweight, but I hope I'm remembering this correctly!
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Maile
5 months ago
This looks like a tricky VPRN question. I'll need to carefully review the inter-AS model details to determine the number of labels pushed.
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Garry
2 years ago
I believe knowing the time of day for API calls is important.
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Olive
2 years ago
Should we inquire about the License including time Large Extensions feature?
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Gearldine
2 years ago
I think we should ask about the API calls expected hourly rate.
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Raul
2 years ago
Haha, I bet the customer is going to say they need 10 years of data because they're trying to predict the future based on the past. That's a classic!
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Stefanie
2 years ago
D) Why do they require 10 years' historical data in Marketing Cloud?
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Ben
2 years ago
A) Does their License include time Large Extensions feature?
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Paola
2 years ago
Are we sure about the number of records being uploaded?
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Aliza
2 years ago
Agreed, knowing the volume of API calls will help us manage the data upload effectively.
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Micah
2 years ago
I agree with Chauncey, B and D are the key questions here. The API call volume is crucial, and understanding their business needs for the historical data is important too.
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Lucille
2 years ago
D) Why do they require 10 years' historical data in Marketing Cloud?
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Franchesca
2 years ago
B) How many API calls are expected to be made at the ask hourly rate?
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Amie
2 years ago
I also believe we should inquire about the number of API calls expected to be made hourly.
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Chauncey
2 years ago
B and D are definitely the right questions to ask. We need to know the API call volume and the rationale behind their 10-year data requirement.
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Daisy
2 years ago
Yes, that's important to know before uploading such a large volume of records.
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Viva
2 years ago
I think we should ask about the License and Large Extensions feature.
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