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Salesforce ANC-301 Exam - Topic 3 Question 66 Discussion

In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.What is the appropriate action?
B) Understand if client should only 'focus on North America'' or drop the field, as it does not have valuable information.
A) Choose the recommended action ''keep only North America'' and exclude all of the other rows.
C) Append more rows of data with 'other values of Region'' to balance the dataset properly.

Salesforce ANC-301 Exam - Topic 3 Question 66 Discussion

Actual exam question for Salesforce's ANC-301 exam
Question #: 66
Topic #: 3
[All ANC-301 Questions]

In Data Alerts, a field named Region is 96.5% North Americ

a. The consultant believes that this is an important field since the majority of sales is in the North American market.

What is the appropriate action?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Sheldon at Jan 22, 2026, 08:22 PM

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My
1 month ago
Really? 96.5%? I wonder if that's skewed data.
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Iesha
1 month ago
But what about the other 3.5%? Seems risky to ignore.
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Eladia
1 month ago
Totally agree, focusing on that region makes sense.
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Launa
2 months ago
That's a huge percentage for North America!
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Brice
2 months ago
96.5% North America? Sounds like someone's been spending too much time studying the map of Westeros instead of the real world.
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Gerald
2 months ago
This is the kind of problem that keeps data analysts up at night. Time to put on the detective hat and get to the bottom of this mystery!
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Rima
2 months ago
Hmm, I wonder if the consultant has considered the possibility of a typo or data entry error. 96.5% seems a bit too precise to be accurate.
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Penney
2 months ago
The consultant should definitely look into this. 96.5% is a pretty specific number, so there's probably more to the story. I'd start by verifying the data source and sampling some records.
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Candra
3 months ago
96.5% North America? Sounds like someone needs to double-check their geography lessons. Maybe they're counting Canada as a separate continent?
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Pauline
3 months ago
This seems like a straightforward case of data quality issue. The consultant should investigate the data source and ensure the field is properly populated.
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Judy
3 months ago
I feel like we should also consider if there are any other regions that are growing, even if they are a smaller percentage right now.
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Omega
3 months ago
I'm not entirely sure, but maybe we should focus on the North American market for targeted marketing strategies since it represents such a large percentage.
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Gerald
4 months ago
I remember a similar question where we had to decide on data validation. Should we consider updating the Region field to reflect more accurate data?
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Margurite
4 months ago
I think we might need to analyze the data further to see if the Region field really impacts sales significantly.
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Lauryn
4 months ago
Okay, got it. Since the Region field is so heavily skewed towards North America, I think the first step would be to validate that data and make sure there aren't any data quality issues. Then I'd consider the business implications and whether adjusting the data or processes could be beneficial.
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Veronika
4 months ago
This seems like a good opportunity to dig into the data and understand the business context better. I'd start by looking at the remaining 3.5% of the data and see if there are any patterns or insights there that could inform the appropriate action.
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Bernardine
5 months ago
I'm a bit confused on the appropriate action here. Should I try to fix the data, or is there something else I should be considering given the consultant's belief about the importance of the North American market?
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Glendora
5 months ago
Okay, so the Region field is 96.5% North America. That's a pretty high percentage, so I'd want to investigate further to understand why that's the case and whether it's an accurate representation of the business.
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Carey
5 months ago
Hmm, this seems like a straightforward data quality issue. I'd start by verifying the data source and checking for any data entry errors or inconsistencies.
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