Question # 1 What is an example of ethical debt? A. Violating a data privacy law and failing to pay finesB. Delaying an AI product launch to retrain an AI data modelC. Launching an AI feature after discovering a harmful bias
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C. Launching an AI feature after discovering a harmful bias
Question # 2 Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce. Which feature should be used to accomplish this? A. Duplicate management B. Trigger deletion of old records C. Standardized field names
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A. Duplicate management
Answer Description
Explanation: “Duplicate management should be used to remove multiple records for the same customer in Salesforce. Duplicate management is a feature that helps prevent and manage duplicate records in Salesforce. Duplicate management can help define matching rules, duplicate rules, and alert messages to detect and merge duplicate records.”
Question # 3 What is the key difference between generative and predictive AI? A. Generative AI creates new content based on existing data and predictive AI analyzes existing data.B. Generative AI finds content similar to existing data and predictive AI analyzes existing data.C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.
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A. Generative AI creates new content based on existing data and predictive AI analyzes existing data.
Answer Description Explanation:
The key difference between generative and predictive AI is that generative AI creates new content based on existing data and predictive AI analyzes existing data. Generative AI is a type of AI that can generate novel content such as images, text, music, or video based on existing data or inputs. Predictive AI is a type of AI that can analyze existing data or inputs and make predictions or recommendations based on patterns or trends.”
Question # 4 A financial institution plans a campaign for preapproved credit cards? How should they implement Salesforce’s Trusted AI Principle of Transparency? A. Communicate how risk factors such as credit score can impact customer eligibility. B. Flag sensitive variables and their proxies to prevent discriminatory lending practices. C. Incorporate customer feedback into the model’s continuous training.
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B. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
Answer Description Explanation:
“Flagging sensitive variables and their proxies to prevent discriminatory lending practices is how they should implement Salesforce’s Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with. Flagging sensitive variables and their proxies means identifying and marking variables that can potentially cause discrimination or unfair treatment based on a person’s identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems.”
Question # 5 To avoid introducing unintended bias to an AI model, which type of data should be omitted? A. TransactionalB. EngagementC. Demographic
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C. Demographic
Answer Description Explanation:
“Demographic data should be omitted to avoid introducing unintended bias to an AI model. Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems.”
Question # 6 What is an implication of user consent in regard to AI data privacy? A. AI ensures complete data privacy by automatically obtaining user consent. B. AI infringes on privacy when user consent is not obtained. C. AI operates Independently of user privacy and consent.
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B. AI infringes on privacy when user consent is not obtained.
Answer Description Explanation:
“AI infringes on privacy when user consent is not obtained. User consent is the permission or agreement given by a user to allow their personal data to be collected, used, shared, or stored by others. User consent is an important aspect of data privacy, which is the right of individuals to control how their personal data is handled by others. AI infringes on privacy when user consent is not obtained because it violates the user’s rights and preferences regarding their personal data.”
Question # 7 Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution. Which data quality dimension is essential for this custom application? A. AgeB. DuplicationC. Consistency
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C. Consistency
Question # 8 Which action introduces bias in the training data used for AI algorithms? A. Using a large dataset that is computationally expensiveB. Using a dataset that represents diverse perspectives and populationsC. Using a dataset that underrepresents perspectives and populations
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C. Using a dataset that underrepresents perspectives and populations
Answer Description Explanation: Introducing bias in training data for AI algorithms occurs when the dataset used underrepresents certain perspectives and populations. This type of bias can skew AI predictions, making the system less fair and accurate.
For example, if a dataset predominantly contains information from one demographic group, the AI's performance may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce discusses the impact of biased training data and ways to mitigate this in their AI ethics guidelines, which can be explored further in the Salesforce AI documentation on Responsible Creation of AI.
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