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Salesforce AI Associate Exam - Topic 3 Question 54 Discussion

What are the key components of the data quality standard?
B) Accuracy, Completeness, Consistency
A) Naming, formatting, Monitoring
C) Reviewing, Updating, Archiving

Salesforce AI Associate Exam - Topic 3 Question 54 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 54
Topic #: 3
[All Salesforce AI Associate Questions]

What are the key components of the data quality standard?

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Suggested Answer: B

''Accuracy, Completeness, Consistency are the key components of the data quality standard. Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency. Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources.''


by Letha at Apr 03, 2026, 05:55 PM

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Tammara
4 days ago
I agree, B covers the essentials. Completeness matters too.
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Leonida
9 days ago
I think B is the best choice. Accuracy is crucial!
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Elden
14 days ago
A and C are nice, but B is the real deal for data quality.
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Yasuko
19 days ago
Totally agree with B, but surprised C isn’t more emphasized!
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Ilona
24 days ago
I’m not sure about C being a key component.
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Bernardine
2 months ago
I think A is important too, especially formatting.
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Buck
3 months ago
Definitely B! Accuracy is crucial.
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Stefania
3 months ago
Reviewing and updating sound familiar, but I’m not confident if they’re the main components. Could it be C?
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Raymon
3 months ago
I practiced a question similar to this, and I think consistency was mentioned a lot, which makes me lean towards B as well.
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Celia
4 months ago
I’m not entirely sure, but I feel like monitoring is a key part of data quality standards. Could it be A?
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Sharmaine
4 months ago
I think I remember something about accuracy and completeness being really important for data quality, so maybe it's B?
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