QUESTION 57
A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

QUESTION 58
Which features of Einstein enhance sales efficiency and effectiveness?

QUESTION 59
What are the key components of the data quality standard?

QUESTION 60
Which statement exemplifies Salesforces honesty guideline when training AI models?

QUESTION 61
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

QUESTION 62
What are some key benefits of AI in improving customer experiences in CRM?

QUESTION 63
What is the most likely impact that high-quality data will have on customer relationships?

QUESTION 64
What is a potential source of bias in training data for AI models?

QUESTION 65
What is an implication of user consent in regard to AI data privacy?

QUESTION 66
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

QUESTION 67
A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

QUESTION 68
How does the “right of least privilege” reduce the risk of handling sensitive personal data?

QUESTION 69
Which best describes the different between predictive AI and generative AI?

QUESTION 70
What is a possible outcome of poor data quality?

QUESTION 71
What is the key difference between generative and predictive AI?

QUESTION 72
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

QUESTION 73
What is a societal implication of excluding ethics in AI development?

QUESTION 74
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…