EMT Practice Test

1. Question Content...

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Question1: Which type of bias imposes a system 's values on others?

Question2: Cloud Kicks wants to evaluate the quality of its sales data.
Which first step should they take for the data quality assessment?

Question3: Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic...

Question4: Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?
What to a potential mason for this?

Question5: Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

Question6: Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
Which type of records negatively impact data quality?

Question7: What is a possible outcome of poor data quality?

Question8: How does the "right of least privilege" reduce the risk of handling sensitive personal data?

Question9: Which AI tool is a web of connections, guided by weights and biases?

Question10: 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?

Question11: What is the role of Salesforce Trust AI principles in the context of CRM system?

Question12: What is the significance of explainability of trusted AI systems?

Question13: A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

Question14: Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics.
What is an essential data quality dimension to achieve this goal?

Question15: A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

Question16: What is a societal implication of excluding ethics in AI development?

Question17: What is the best method to safeguard customer data privacy?

Question18: What should an organization do to enforce consistency across accounts for newly entered records?

Question19: Salesforce defines bias as using aperson's Immutable traits to classify them or market to them.
Which potentially sensitive attribute is an example of an immutable trait?

Question20: A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?

Question21: Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

Question22: Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

Question23: A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

Question24: How does poor data quality affect predictive and generative AI models?

Question25: How does AI which CRM help sales representatives better understand previous customer interactions?

Question26: What is machine learning?

Question27: What are some of the ethical challenges associated with AI development?

Question28: What is one technique to mitigate bias and ensure fairness in AI applications?

Question29: Which statement exemplifies Salesforces honesty guideline when training AI models?

Question30: A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

Question31: A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?

Question32: Which features of Einstein enhance sales efficiency and effectiveness?

Question33: What should organizations do to ensure data quality for their AI initiatives?

Question34: What is a potential source of bias in training data for AI models?

Question35: What does the term "data completeness" refer to in the context of data quality?

Question36: Which Einstein capability uses emails to create content for Knowledge articles?

Question37: Which best describes the difference between predictive AI and generative Al?

Question38: What are the three commonly used examples of AI in CRM?

Question39: A sales manager is looking to enhance the quality of lead data in their CRM system.
Which process will most likely help the team accomplish this goal?

Question40: The Cloud technical team is assessing the effectiveness of their AI development processes?
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?

Question41: Why is it critical to consider privacy concernswhen dealing with AI and CRM data?

Question42: How does an organization benefit from using AI to personalize the shopping experience of online customers?

Question43: A business analyst (BA) is preparing a new use case for Al. They run a report to check for null values in the attributes they plan to use.
Which data quality component Is the BA verifying by checking for null values?

Question44: What is a sensitive variable that car esc to bias?

Question45: How does AI assist in lead qualification?

Question46: A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced>

Question47: What is a potential outcome of using poor-quality data in AI application?

Question48: Which best describes the different between predictive AI and generative AI?

Question49: Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?