Salesforce-AI-Associate Questions Exam, Salesforce-AI-Associate Reliable Test Tutorial

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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 Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 3	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 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.

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Salesforce Certified AI Associate Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
Cloud Kicks wants to develop a solutionto predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.
Which data quality dimension is affected in this scenario?

A. Completeness
B. Accuracy
C. Consistency

Answer: C

Explanation:
"Consistency is the data quality dimension that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format acrossdifferent records, fields, or sources.
Inconsistent data can cause confusion, errors, or duplication in data analysis and processing. For example, using different field types for the same attribute can affect the consistency of the data."

NEW QUESTION # 68
What is Salesforce's Trusted AI Principle of Transparency?

A. The clear and understandable explanation of Al decisions and actions
B. The integration of AT models with Salesforce workflows
C. The customization of AT features to meet specific business requirements

Answer: A

Explanation:
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.

NEW QUESTION # 69
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

A. Consent
B. Usage
C. Duplication

Answer: C

Explanation:
"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies.
Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors,or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."

NEW QUESTION # 70
What is a Key consideration regarding data quality in AI implementation?

A. Techniques from customizing AI features in Salesforce
B. Data's role in training and fine-tuning Salesforce AI models
C. Integration process of AI models with Salesforce workflows

Answer: B

Explanation:
"Data's role in training and fine-tuning Salesforce AI models is a key consideration regarding data quality in AI implementation. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data's role in training and fine-tuning Salesforce AI models means understanding how data is used to build, train, test, and improve AI models in Salesforce, such as Einstein Prediction Builder or Einstein Discovery."

NEW QUESTION # 71
A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced>

A. Transparency
B. Inclusivity
C. Accountability

Answer: B

Explanation:
Explanation
"Conducting a series of Consequence Scanning workshops to support testing diverse datasets is an action that practices Salesforce's Trusted AI Principle of Inclusivity. Inclusivity is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Conducting Consequence Scanning workshops means engaging with various stakeholders to identify and assess the potential impacts and implications of AI systems on different groups or domains. Conducting Consequence Scanning workshops can help practice Inclusivity by ensuring that diverse datasets are used to test and evaluate AI systems."

NEW QUESTION # 72
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Salesforce-AI-Associate Questions Exam, Salesforce-AI-Associate Reliable Test Tutorial

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Free PDF Quiz 2025 Salesforce Professional Salesforce-AI-Associate: Salesforce Certified AI Associate Exam Questions Exam

Salesforce Certified AI Associate Exam Sample Questions (Q67-Q72):

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