EMT Practice Test

1. Question Content...

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Question1: How does an organization benefit from using AI to personalize the shopping experience of online customers?

Question2: 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?

Question3: What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

Question4: What is the significance of explainability of trusted AI systems?

Question5: What are the key components of the data quality standard?

Question6: Which features of Einstein enhance sales efficiency and effectiveness?

Question7: What is a potential outcome of using poor-quality data in AI application?

Question8: Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

Question9: What are the potential consequences of an organization suffering from poor data quality?

Question10: 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?

Question11: What is one way to achieve transparency in AI?

Question12: What is a key challenge of human AI collaboration in decision-making?

Question13: 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?

Question14: What should an organization do to enforce consistency across accounts for newly entered records?

Question15: What is a key benefit of effective interaction between humans and AI systems?

Question16: What is the role of Salesforce Trust AI principles in the context of CRM system?

Question17: Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions Which field of AI is most suitable for this scenario?

Question18: Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic...

Question19: What are the three commonly used examples of AI in CRM?

Question20: What should be done to prevent bias from entering an AI system when training it?

Question21: How does AI which CRM help sales representatives better understand previous customer interactions?

Question22: What is the best method to safeguard customer data privacy?

Question23: What is a key benefit of effective interaction between humans and AI systems?

Question24: Which AI tool is a web of connections, guided by weights and biases?

Question25: What is a benefit of a diverse, balanced, and large dataset?

Question26: What are some key benefits of AI in improving customer experiences in CRM?

Question27: 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?

Question28: Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?
What to a potential mason for this?

Question29: How does AI assist in lead qualification?

Question30: Cloud Kicks wants to use AI to enhance its sales processesand customer support.
Which capacity should they use?

Question31: 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?

Question32: What is the most likely impact that high-quality data will have on customer relationships?

Question33: How does data quality impact the trustworthiness of Al-driven decisions?

Question34: 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?

Question35: Cloud Kicks' latest email campaign is struggling to attract new customers.
How can AI increase the company's customer email engagement?

Question36: Which action introduces bias in the training data used for AI algorithms?

Question37: What is a possible outcome of poor data quality?

Question38: 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?

Question39: What role does data quality play in the ethical us of AI applications?

Question40: 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?

Question41: What is machine learning?

Question42: What does the term "data completeness" refer to in the context of data quality?

Question43: Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

Question44: 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?

Question45: Why is it critical to consider privacy concernswhen dealing with AI and CRM data?

Question46: Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?

Question47: 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?

Question48: A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?

Question49: Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

Question50: 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?

Question51: What are some of the ethical challenges associated with AI development?