Associate Quiz 4

What is a possible outcome of poor data quality?

• AL systems inadvertently learn and amplify biases.

• AI models have slower response times.

• AI predictions became more focused and less robust.

How does data quality impact the trustworthiness of AI-driven decisions?

• Low-quality data increases the risk of overfitting the model, but accuracy of predictions may improve.

• High-quality data improves the reliability and credibility of AI-driven decisions.

• The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions, fostering trust among users.

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly?

• Build a Data Management Strategy.

• Run reports to explore the data quality.

• Leverage data quality apps from AppExchange.

Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use?

• Sales Path and Automated Case Escalations

• Einstein Next Best Action and Case Auto Response Rules

• Einstein Lead Scoring and Case Classification

Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

• An explanation of the prediction’s rationale and a model card that describes how the model was created.

• A marketing article of the product that clearly outlines the product's capabilities and features.

• An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles.

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

• Input the data exactly as it appears from the source, such as the company's website or social media.

• Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

• Merge all duplicate accounts into a single record when duplicate entries are detected.

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

• Transactional

• Engagement

• Demographic

How does the 'right of least privilege' reduce the risk of handling sensitive personal data?

• By reducing how many attributes are collected.

• By applying data retention policies.

• By limiting how many people have access to data.

A service leader wants to use AI to help customers resolve their issues quicker in a guided self-serve application, Which Einstein functionality provides the best solution?

• Bots

• Case Classification

• Recommendation

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

• Duplicate

• Structured

• Complete