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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 2	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 3	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 4	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

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Salesforce Certified AI Associate Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
How does poor data quality affect predictive and generative AI models?

A. Increases raw data volume
B. Creates inaccurate results
C. Decreases storage efficiency

Answer: B

Explanation:
Poor data quality significantly impacts the performance of predictive and generative AI models by leading to inaccurate and unreliable results. Factors such as incomplete data, incorrect data, or poorly formatted data can mislead AI models during the learning phase, causing them to make incorrect assumptions, learn inappropriate patterns, or generalize poorly to new data. This inaccuracy can be detrimental in applications where precision is critical, such as in predictive analytics for sales forecasting or customer behavior analysis.
Salesforce emphasizes the importance of data quality for AI model effectiveness in their AI best practices guide, which can be reviewed on Salesforce AI Best Practices.

NEW QUESTION # 48
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.
Which primary role does data Quality play In this AI application?

A. Ensured compatibility of AI algorithms with the system's Infrastructure
B. Enhanced accuracy and reliability of medical predictions and diagnoses
C. Reduced need for healthcare expertise in interpreting AI outouts

Answer: B

Explanation:
Explanation
"Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the data used for AI applications in healthcare is accurate, complete, consistent, and relevant."

NEW QUESTION # 49
What is the role of Salesforce Trust AI principles in the context of CRM system?

A. Outlining the technical specifications for AI integration
B. Guiding ethical and responsible use of AI
C. Providing a framework for AI data model accuracy

Answer: B

Explanation:
"The role of Salesforce Trust AI principles in the context of CRM systems is guiding ethical and responsible use of AI. Salesforce Trust AI principles are a set of guidelines and best practicesfor developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness & Equality, Transparency & Explainability, Privacy & Security, Reliability & Safety, Inclusivity & Diversity, Empowerment & Education. The principles aim to ensure that AI systems are aligned with the values and interests of customers, partners, and society."

NEW QUESTION # 50
Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics.
What is an essential data quality dimension to achieve this goal?

A. Reliability
B. Age
C. Volume

Answer: A

Explanation:
"Reliability is an essential data quality dimension to achieve the goal of predicting the demand for shoes using historical data on sales and regional characteristics. Reliability means that the data values are trustworthy, credible, and authoritativefor the AI task. Reliable data can improve the accuracy and confidence of AI predictions, as they reflect the true state or condition of the target population or domain. For example, reliable data can help predict the demand for shoes by using verified andvalidated sales and regional data."

NEW QUESTION # 51
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 # 52
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New Salesforce-AI-Associate Exam Testking - Salesforce-AI-Associate Labs

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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Salesforce Certified AI Associate Exam Sample Questions (Q47-Q52):

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