Latest Test Salesforce-AI-Associate Experience & Salesforce-AI-Associate 100% Accuracy

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	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 Trusted AI Principles of Salesforce to given scenarios.
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	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.

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Salesforce Certified AI Associate Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
B. A marketing article of the product that clearly outlines the oroduct's capabilities and features
C. An explanation of the prediction's rationale and a model card that describes how the model was created

Answer: C

Explanation:
"An explanation of the prediction's rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce's Trusted AI Principle of Transparency.
Transparency means that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with."

NEW QUESTION # 24
Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?

A. The diversity of the product
B. The accuracy of the product
C. The response time for the product

Answer: B

Explanation:
Incomplete data quality negatively impacts the accuracy of product recommendations made by Cloud Kicks.
If data is missing or incomplete, the AI models used for product recommendation may not have enough information to accurately predict customer preferences and behavior. This leads to recommendations that may not align well with customer needs, reducing customer satisfaction and potentially affecting sales.
Ensuring complete and accurate data is crucial for effective recommendation systems. Salesforce discusses the impact of data quality on AI outcomes and strategies to enhance data integrity in their documentation on AI and data management, which can be referenced at Data Management for AI.

NEW QUESTION # 25
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 # 26
What is a Key consideration regarding data quality in AI implementation?

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

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 # 27
What are the potential consequences of an organization suffering from poor data quality?

A. Technical debt, monolithic system architecture, and slow ETL throughput
B. Low employee morale, stock devaluation, and inability to attract top talent
C. Revenue loss, poor customer service, and reputational damage

Answer: C

Explanation:
The potential consequences of an organization suffering from poor data quality include revenue loss, poor customer service, and reputational damage. Poor data quality can lead to inaccurate analytics and decision-making, impacting customer interactions, marketing strategies, and financial forecasting. These issues ultimately affect customer satisfaction and could lead to financial losses and a damaged brand reputation. Salesforce highlights the importance of maintaining high data quality for effective CRM and AI applications, offering various tools and best practices to enhance data integrity. For guidance on managing and improving data quality in Salesforce, see the Salesforce documentation on data quality at Salesforce Data Quality.

NEW QUESTION # 28
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Latest Test Salesforce-AI-Associate Experience & Salesforce-AI-Associate 100% Accuracy

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

High-quality Latest Test Salesforce-AI-Associate Experience & Leader in Certification Exams Materials & Free PDF Salesforce-AI-Associate 100% Accuracy

Salesforce Certified AI Associate Exam Sample Questions (Q23-Q28):

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