EMT Practice Test

1. Question Content...

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Question1: How is natural language processing (NLP) used in the context of AI capabilities?

Question2: What is one technique to mitigate bias and ensure fairness in AI applications?

Question3: Which action introduces bias in the training data used for AI algorithms?

Question4: 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?

Question5: A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced>

Question6: Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data.
Which data quality element should the company focus on?

Question7: What can bias in AI algorithms in CRM lead to?

Question8: A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?

Question9: 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?

Question10: What is machine learning?

Question11: What is a benefit of a diverse, balanced, and large dataset?

Question12: What is the best method to safeguard customer data privacy?

Question13: Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.
Which dimension of data quality is affected in this scenario?

Question14: A Salesforce administrator creates a new field to capture an order's destination country.
Which field type should they use to ensure data quality?

Question15: What is a potential outcome of using poor-quality data in AI application?

Question16: Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?

Question17: What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

Question18: Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.
Which dimensionof data quality is affected in this scenario?

Question19: A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

Question20: 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?

Question21: A business analyst (BA) wants to improve business by enhancing their sales processes and customer..
Which AI application should the BA use to meet their needs?

Question22: What does the term "data completeness" refer to in the context of data quality?

Question23: A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.
Which primary role does data Quality play In this AI application?

Question24: What is an implication of user consent in regard to AI data privacy?

Question25: Which best describes the difference between predictive AI and generative Al?

Question26: A developer has a large amount of data, but it is scattered across different systems and is not standardized.
Which key data quality element should they focus on to ensure the effectiveness of the AI models?

Question27: 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?

Question28: Which type of bias imposes a system 's values on others?

Question29: How does the "right of least privilege" reduce the risk of handling sensitive personal data?

Question30: 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?

Question31: 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?

Question32: A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address ...
Which feature should they use to accomplish this?

Question33: A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?

Question34: What is a possible outcome of poor data quality?

Question35: What are the key components of the data quality standard?

Question36: What is the role of Salesforce Trust AI principles in the context of CRM system?

Question37: Cloud Kicks wants to evaluate the quality of its sales data.
Which first step should they take for the data quality assessment?

Question38: Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?

Question39: What is the rile of data quality in achieving AI business Objectives?

Question40: 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?

Question41: What is the significance of explainability of trusted AI systems?

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

Question43: A service leader wants use AI tohelp customer resolve their issues quicker in a guided self-serve application.
Which Einstein functionality provides the best solution?

Question44: Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?
What to a potential mason for this?

Question45: Cloud Kicks plans to use automated chat as its primary support channel.
Which Einstein feature should they use?

Question46: Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

Question47: In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

Question48: What role does data quality play in the ethical us of AI applications?