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Salesforce Certified AI Associate Salesforce-AI-Associate Dumps in PDF

Free Salesforce Salesforce-AI-Associate Real Questions (page: 20)

Salesforce-AI-Associate PDF — 106 Questions

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

  1. Customers are more likely to share personal information with a site that personalizes their experience.
  2. Customers are more likely to be satisfied with their shopping experience.
  3. Customers are more likely to visit competitor sites that personalize their experience.

Answer(s): B

Explanation:

"An organization benefits from using AI to personalize the shopping experience of online customers by increasing customer satisfaction. AI can help provide customized and relevant product recommendations, offers, or content based on the customers' preferences, behavior, or needs. AI can also help create a more engaging and interactive shopping experience by using natural language processing (NLP) or computer vision techniques. Personalized shopping experiences can improve customer satisfaction by meeting their expectations, needs, and interests."



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

  1. Test only with data from a specific region or demographic to limit the risk of data leaks.
  2. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.
  3. Test with diverse and representative datasets appropriate for how the model will be used.

Answer(s): C

Explanation:

"Testing with diverse and representative datasets appropriate for how the model will be used aligns with Salesforce's Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."



Cloud Kicks wants to develop a solution to predict customers product interests based on historical dat

  1. 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?
  2. Completeness
  3. Accuracy
  4. Consistency

Answer(s): C

Explanation:

"Consistency is the data quality dimension that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing. For example, using different field types for the same attribute can affect the consistency of the data."



Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges.
What should they consider doing to minimize potential AI bias?

  1. Integrate AI models that auto-correct biased data.
  2. Implement Salesforce's Trusted AI Principles.
  3. Use demographic data to identify minority groups.

Answer(s): B

Explanation:

"Implementing Salesforce's Trusted AI Principles is what Cloud Kicks should consider doing to minimize potential AI bias. Salesforce's Trusted AI Principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability & Safety, Inclusivity & Diversity, Empowerment & Education."



Which features of Einstein enhance sales efficiency and effectiveness?

  1. Opportunity List View, Lead List View, Account List view
  2. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
  3. Opportunity Scoring, Lead Scoring, Account Insights

Answer(s): C

Explanation:

"Opportunity Scoring, Lead Scoring, Account Insights are features of Einstein that enhance sales efficiency and effectiveness. Opportunity Scoring and Lead Scoring use predictive models to assign scores to opportunities and leads based on their likelihood to close or convert. Account Insights use natural language processing (NLP) to provide relevant news and insights about accounts based on their industry, location, or events."



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