Question # 1 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 A. AutofillB. Duplicate matching ruleC. Validation rule
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C. Validation rule
Answer Description Explanation: “A validation rule should be used to ensure that each new contact contains at least an email address or phone number. A validation rule is a feature that checks the data entered by users for errors before saving it to Salesforce. A validation rule can help ensure data quality by enforcing certain criteria or conditions for the data values.”
Question # 2 What is the significance of explainability of trusted AI systems? A. Increases the complexity of AI modelsB. Enhances the security and accuracy of AI modelsC. Describes how Al models make decisions
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C. Describes how Al models make decisions
Answer Description Explanation: The significance of the explainability of trusted AI systems is that it describes how AI models make decisions. Explainability is crucial for building trust and accountability in AI systems, ensuring that users and stakeholders understand the decision-making processes and outcomes generated by AI. This is particularly important in scenarios where AI decisions impact personal or financial status, such as in credit scoring or healthcare diagnostics. Salesforce emphasizes the importance of explainable AI through its ethical AI practices, aiming to make AI systems more transparent and understandable. More details about Salesforce’s approach to ethical and explainable AI can be found in Salesforce AI
ethics resources at Salesforce AI Ethics.
Question # 3 Why is it critical to consider privacy concerns when dealing with AI and CRM data? A. Ensures compliance with laws and regulationsB. Confirms the data is accessible to all usersC. Increases the volume of data collected
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A. Ensures compliance with laws and regulations
Answer Description Explanation: “It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that define and enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AI and CRM data can be handled.”
Question # 4 A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets. Which Salesforce Trusted AI Principles is being practiced? A. TransparencyB. InclusivityC. Accountability
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B. Inclusivity
Question # 5 What is a key characteristic of machine learning in the context of AI capabilities? A. Uses algorithms to learn from data and make decisionsB. Relies on preprogrammed rules to make decisionsC. Can perfectly mimic human intelligence and decision-making
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A. Uses algorithms to learn from data and make decisions
Answer Description Explanation: “Machine learning is a key characteristic of AI capabilities that uses algorithms to learn from data and make decisions. Machine learning is a branch of AI that enables computers to learn from data without being explicitly programmed. Machine learning algorithms can analyze data, identify patterns, and make predictions or recommendations based on the data.”
Question # 6 How does the "right of least privilege" reduce the risk of handling sensitive personal data? A. By limiting how many people have access to dataB. By reducing how many attributes are collectedC. By applying data retention policies
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A. By limiting how many people have access to data
Answer Description Explanation: “The “right of least privilege” reduces the risk of handling sensitive personal data by limiting how many people have access to data. The “right of least privilege” is a security principle that states that each user or system should have the minimum level of access or privilege necessary to perform their tasks or functions. The “right of least privilege” can help protect sensitive personal data from unauthorized access, misuse, or leakage.”
Question # 7 Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
Which type of records negatively impact data quality? A. StructuredB. CompleteC. Duplicate
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C. Duplicate
Answer Description Explanation: Duplicate records negatively impact data quality by creating inconsistencies and confusion in database management, leading to potential errors in customer relationship management (CRM) systems like Salesforce. Duplicates can skew analytics results, lead to inefficiencies in customer service, and result in redundant marketing efforts. Salesforce offers various tools to identify and merge duplicate records, thereby maintaining high data integrity. More about managing duplicate records in Salesforce and ensuring data quality can be found in Salesforce’s documentation on duplicate management at Salesforce Duplicate Management.
Question # 8 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.”
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