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Salesforce Certified AI Associate · Salesforce
Select one answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
it's B
When aiming to predict shoe demand using historical sales data and regional characteristics, ensuring reliable data is essential. Reliability in data quality refers to the degree to which data is accurate, consistent, and trustworthy, directly impacting the effectiveness of AI models. Inaccurate or inconsistent data can lead to flawed predictions, adversely affecting decision-making processes. While volume (the amount of data) and age (the recency of data) are important considerations, they are secondary to reliability. A large dataset is beneficial only if the data is reliable; similarly, recent data is valuable only when its accuracy and consistency are ensured. Therefore, among the options provided, A. Reliability is the most critical data quality dimension to focus on for accurately predicting shoe demand.
Age is the solution