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

Salesforce Certified AI Associate Exam Sample Questions (Q38-Q43):

NEW QUESTION # 38
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. Reduced need for healthcare expertise in interpreting AI outouts
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Enhanced accuracy and reliability of medical predictions and diagnoses

Answer: C

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 dataused for AI applications in healthcare is accurate, complete, consistent, and relevant."

NEW QUESTION # 39
What is a benefit of a diverse, balanced, and large dataset?

A. Training time
B. Model accuracy
C. Data privacy

Answer: B

Explanation:
Explanation
"Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting or underfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data."

NEW QUESTION # 40
Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

A. Consistency
B. Accuracy
C. Usage

Answer: A

Explanation:
Explanation
"Consistency is the data quality dimension that is affected by multiple variations of state and country values in contact records. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing."

NEW QUESTION # 41
How does an organization benefit from using AI to personalize the shopping experience of online customers?

A. Customers are more likely to be satisfied with their shopping experience.
B. Customers are more likely to visit competitor sites that personalize their experience.
C. Customers are more likely to share personal information with a site that personalizes their experience.

Answer: A

Explanation:
Explanation
"An organization benefits from using AI to personalize the shopping experience of online customers by increasing customer satisfaction. AI can help provide customized and relevant product recommendations, offers, or content based on the customers' preferences, behavior, or needs. AI can also help create a more engaging and interactive shopping experience by using natural language processing (NLP) or computer vision techniques. Personalized shopping experiences can improve customer satisfaction by meeting their expectations, needs, and interests."

NEW QUESTION # 42
What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

A. Different types of automation tools used in Salesforce
B. Different types of AI that can be applied in Salesforce
C. Different types of data models used in Salesforce

Answer: B

Explanation:
Predictive analytics, machine learning, natural language processing (NLP), and computer vision are all types of artificial intelligence technologies that can be applied in Salesforce to enhance various aspects of business operations and customer interactions. Predictive analytics uses historical data to make predictions about future events. Machine learning involves algorithms that can learn from and make decisions based on data.
NLP is concerned with the interactions between computers and humans using natural language, and computer vision interprets and processes visual information from the world to make sense of it in the way humans do.
Salesforce harnesses these AI technologies, particularly through its Einstein platform, to provide powerful tools that help businesses automate tasks, make better decisions, and offer more personalized services. For more on how Salesforce utilizes these AI technologies, you can explore the Einstein AI services documentation at Salesforce Einstein.

NEW QUESTION # 43
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Pass Guaranteed 2025 Marvelous Salesforce Salesforce-AI-Associate: Valid Salesforce Certified AI Associate Exam Test Duration

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Salesforce Certified AI Associate Exam Sample Questions (Q38-Q43):

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