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Salesforce-AI-Associate Practice Questions

Question # 1
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?
A. Chances of bIas and mitigated
B. Chances of bias are aggravated
C. Chances of bias are remove


A. Chances of bIas and mitigated

Explanation: A benefit of data quality and transparency as it pertains to bias in generated AI is that the chances of bias are mitigated. High data quality ensures that AI models are trained on accurate and representative data, reducing the risk of biased outcomes. Transparency in AI processes helps stakeholders understand how decisions are made, allowing for the identification and correction of potential biases. Together, these practices contribute to the development of fairer and more accountable AI systems. Salesforce highlights the importance of these principles in its AI practices, particularly through its ethical AI framework, which advocates for fairness and accountability. More on Salesforce’s commitment to promoting unbiased AI can be found in their AI ethics guidelines at Salesforce AI Ethics.


Question # 2
A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application. Which Einstein functionality provides the best solution?
A. Case Classification
B. Bots
C. Recommendation


B. Bots

Explanation: “Bots provide the best solution for a service leader who wants to use AI to help customers resolve their issues quicker in a guided self-serve application. Bots are a feature that uses natural language processing (NLP) and natural language understanding (NLU) to create conversational interfaces that can interact with customers using text or voice. Bots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the customer’s intent and context.”


Question # 3
A business analyst (BA) wants to improve business by enhancing their sales processes and customer.. Which AI application should the BA use to meet their needs?
A. Sales data cleansing and customer support data governance
B. Machine learning models and chatbot predictions
C. Lead scoring, opportunity forecasting, and case classification


C. Lead scoring, opportunity forecasting, and case classification

Explanation: “Lead scoring, opportunity forecasting, and case classification are AI applications that can help a business analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and case classification can help categorize and route cases based on their attributes.”


Question # 4
Cloud Kicks wants to implement AI features on its Salesforce Platform but has concerns about potential ethical and privacy challenges. What should they consider doing to minimize potential AI bias?
A. Use demographic data to identify minority groups.
B. Integrate AI models that auto-correct biased data.
C. Implement Salesforce's Trusted AI Principles.


C. Implement Salesforce's Trusted AI Principles.



Question # 5
What is a sensitive variable that car esc to bias?
A. Education level
B. Country
C. Gender


C. Gender

Explanation:

Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person’s identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems.


Question # 6
Which type of bias results from data being labeled according to stereotypes?
A. Association
B. Societal
C. Interaction


B. Societal

Explanation: “Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes.”


Question # 7
What is the most likely impact that high-quality data will have on customer relationships?
A. Increased brand loyalty
B. Higher customer acquisition costs
C. Improved customer trust and satisfaction


C. Improved customer trust and satisfaction

Explanation: “The most likely impact that high-quality data will have on customer relationships is improved customer trust and satisfaction. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve customer relationships by enabling AI systems to provide personalized and relevant products, services, or solutions that meet the customers’ expectations, needs, and interests. High-quality data can also improve customer trust and satisfaction by reducing errors, delays, or waste in customer interactions.”


Question # 8
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories. How will this incomplete data quality impact the company's operations?
A. The accuracy of product recommendations is hindered.
B. The diversity of product recommendations Is Improved.
C. The response time for product recommendations is stalled.


A. The accuracy of product recommendations is hindered.

Explanation: “The incomplete data quality will impact the company’s operations by hindering the accuracy of product recommendations. Incomplete data means that the data is missing some values or attributes that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI models, as they may not have enough information to learn from or make accurate predictions. For example, incomplete customer records can affect the quality of product recommendations, as the AI model may not be able to capture the customers’ preferences, behavior, or needs.”


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Salesforce Salesforce-AI-Associate Exam Dumps

Exam Name: Salesforce Certified AI Associate Exam (SU24)
Certification Name: AI Associate

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  • Total Questions: 101
  • Last Updation Date: 5-Dec-2024

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