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Salesforce AI Associate: How to Assess Data Quality for Einstein Prediction Builder

Learn how to assess data quality for Einstein Prediction Builder with this guide. Find out how building reports can help you explore the data and identify any issues or anomalies.

Table of Contents

Question

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer’s likelihood of buying specific products; however, data quality is a …

How can data quality be assessed quality?

A. Build a Data Management Strategy.
B. Build reports to expire the data quality.
C. Leverage data quality apps from AppExchange

Answer

C. Leverage data quality apps from AppExchange

Explanation

Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions that can help measure, monitor, or improve data quality in Salesforce.

Salesforce AI Associate actual real practice exam question and answer (Q&A)

The latest Salesforce AI Associate actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Salesforce AI Associate certificate exam and earn Salesforce AI Associate certification.