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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.
Topic 2	Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.
Topic 3	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 4	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

Salesforce Certified AI Associate Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
To avoid introducing unintended bias to an AI model, which type of data should be omitted?

A. Transactional
B. Engagement
C. Demographic

Answer: C

Explanation:
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."

NEW QUESTION # 50
How does data quality impact the trustworthiness of Al-driven decisions?

A. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
C. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

Answer: C

Explanation:
Explanation
"High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AI systems."

NEW QUESTION # 51
A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

A. Sales Dialer
B. Auto-Generated Sales Tasks
C. Call Summaries

Answer: C

Explanation:
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.

NEW QUESTION # 52
What is a sensitive variable that car esc to bias?

A. Gender
B. Country
C. Education level

Answer: A

Explanation:
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."

NEW QUESTION # 53
Cloud Kicks wants to use AI to enhance its sales processesand customer support.
Which capacity should they use?

A. Dashboard of Current Leads and Cases
B. Einstein Lead Scoring and Case Classification
C. Sales path and Automaton Case Escalations

Answer: B

Explanation:
"Einstein Lead Scoring and Case Classification are thecapabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI tooptimize sales and service processes by providing insights and recommendations based ondata. Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."

NEW QUESTION # 54
......

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Salesforce-AI-Associate Latest Exam Discount & Salesforce-AI-Associate Latest Study Notes

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Salesforce Certified AI Associate Exam Sample Questions (Q49-Q54):

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