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Question 72 - Certified AI Associate discussion

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What does the term 'data completeness' refer to in the context of data quality?

A.
The degree to which all required data points are present in the dataset
Answers
A.
The degree to which all required data points are present in the dataset
B.
The process of aggregating multiple datasets from various databases
Answers
B.
The process of aggregating multiple datasets from various databases
C.
The ability to access data from multiple sources in real time
Answers
C.
The ability to access data from multiple sources in real time
Suggested answer: A

Explanation:

Data completeness is a measure of data quality that assesses whether all required data points are present in a dataset. It checks for missing values or gaps in data necessary for accurate analysis and decision-making. In the context of Salesforce, ensuring data completeness is crucial for the effectiveness of CRM operations, reporting, and AI-driven applications like Salesforce Einstein, which rely on complete data to function optimally. Salesforce provides various tools and features, such as data validation rules and batch data import processes, that help maintain data completeness across its platform. Detailed guidance on managing data quality in Salesforce can be found in the Salesforce Help documentation on data management at Salesforce Help Data Management.

asked 23/09/2024
Thabo Sebola
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