EMT Practice Test
1. Question Content...
Question3: Why is it critical to consider privacy concernswhen dealing with AI and CRM data?
Question5: Which type of bias results from data being labeled according to stereotypes?
Question6: What are some key benefits of AI in improving customer experiences in CRM?
Question7: What are some of the ethical challenges associated with AI development?
Question10: What is a possible outcome of poor data quality?
Question13: Which best describes the different between predictive AI and generative AI?
Question14: What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
Question16: What are the key components of the data quality standard?
Question17: What should be done to prevent bias from entering an AI system when training it?
Question20: What is a potential source of bias in training data for AI models?
Question21: What is a potential outcome of using poor-quality data in AI application?
Question23: What is a key characteristic of machine learning in the context of AI capabilities?
Question24: Which Einstein capability uses emails to create content for Knowledge articles?
Question26: What is a benefit of a diverse, balanced, and large dataset?
Question30: What can bias in AI algorithms in CRM lead to?
Question31: What is the key difference between generative and predictive AI?
Question34: What is the role of Salesforce Trust AI principles in the context of CRM system?
Question35: Which features of Einstein enhance sales efficiency and effectiveness?
Question36: What is an example of ethical debt?
Question37: How does a data quality assessment impact business outcome for companies using AI?