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Master Salesforce AI Associate Exam with Reliable Practice Questions

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Last exam update: Nov 12,2024
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Question 1

A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.

Which functionality provides the best solution?


Correct : A

The best functionality to help sales representatives log their calls quicker and more accurately is the use of AI-generated Call Summaries. This feature leverages AI to analyze voice data from sales calls and automatically generate concise summaries and actionable insights, which are then logged into the CRM system. This not only speeds up the process of recording call details but also enhances the accuracy of the data captured, reducing the likelihood of human error and ensuring that important details are not missed. Salesforce provides AI tools that integrate with telephony solutions to enable these capabilities, enhancing the efficiency of sales operations. For more information on Salesforce AI features like Einstein Call Coaching that support this functionality, visit Salesforce Einstein Call Coaching.


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Question 2

What is Salesforce's Trusted AI Principle of Transparency?


Correct : C

Salesforce's Trusted AI Principle of Transparency emphasizes the importance of providing clear and understandable explanations of AI decisions and actions. This principle ensures that users can understand how AI conclusions are drawn, which is crucial for trust and accountability, especially in business applications where AI decisions can have significant impacts. Transparency helps mitigate the 'black box' nature of AI systems by making them more interpretable and allows for better oversight, compliance, and alignment with ethical guidelines. Salesforce elaborates on these principles in their ethical AI practices, which can be further explored at Salesforce Ethical AI.


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Question 3

What is a societal implication of excluding ethics in AI development?


Correct : C

Excluding ethics in AI development can lead to societal implications such as harm to marginalized communities. When ethical considerations are not integrated into AI development, the resulting technologies may perpetuate or amplify biases, leading to unfair treatment or discrimination against certain groups. This can reinforce existing social inequalities and prevent these communities from benefiting equally from the advancements in AI technology. Salesforce is committed to responsible AI development and emphasizes the importance of ethical considerations in their development practices to prevent such outcomes. Details on Salesforce's approach to ethical AI and its importance can be found at Salesforce Ethical AI.


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Question 4

Cloud Kicks wants to evaluate the quality of its sales data.

Which first step should they take for the data quality assessment?


Correct : C

The first step Cloud Kicks should take for data quality assessment is toidentify business objectives.This is crucial because understanding how the company uses customer data to support its business objectives will guide the assessment process1. By identifying the business objectives, Cloud Kicks can determine what customer data is required to support those objectives and how that data is being used. This foundational step is essential before moving on to other aspects of data quality assessment, such as running reports or planning territories.It aligns the data quality initiatives with the company's goals and ensures that the assessment is focused on areas that will drive business value


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Question 5

In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?


Correct : A

The principle of Responsibility in Salesforce's Trusted AI Principles primarily focuses on ensuring that AI is used ethically. This includes making sure that AI technologies are developed and implemented in ways that are transparent, fair, and accountable, with a strong emphasis on the impact on individuals and society. The principle encourages organizations to take responsibility for the outcomes of their AI systems and to avoid unintended consequences that could harm users or society.


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