2025 Accurate Salesforce Latest Salesforce-AI-Associate Test Prep

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
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	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 (Q49-Q54):

NEW QUESTION # 49
In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

A. Empower users to contribute to the growing body of knowledge of leading AIresearch.
B. Empower users to off all skill level to build AI application with clicks, not code.
C. Empower users to solve challenging technical problems using neural networks.

Answer: B

Explanation:
"The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment isone of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the empowerment and education of humans. Empowering users means enabling users to access, use, and benefit from AI systems regardless of their technical expertise or background. For example, empowering users means providing tools and platforms that allow users to build AI applications with clicks, not code, such as Einstein Prediction Builder or Einstein Discovery."

NEW QUESTION # 50
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company's operations?

A. The response time for product recommendations is stalled.
B. The diversity of product recommendations Is Improved.
C. The accuracy of product recommendations is hindered.

Answer: C

Explanation:
"The incomplete data quality will impact the company's operations by hindering the accuracy of product recommendations. Incomplete data means that the data is missing some values or attributes that are relevant for the AI task. Incomplete data can affect the performance and reliability of AI models, as they may not have enough information to learn from or make accurate predictions. For example, incomplete customer records can affect the quality of product recommendations, as the AI model may not be able to capture the customers' preferences, behavior, or needs."

NEW QUESTION # 51
Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data.
Which data quality element should the company focus on?

A. Volume
B. Accuracy
C. Location

Answer: B

Explanation:
To improve the quality of AI model predictions, Cloud Kicks should focus on the accuracy of the data.
Accurate data ensures that the insights and predictions generated by AI models are reliable and valid. Data accuracy involves correcting errors, filling missing values, and verifying data sources to enhance the quality of information fed into the AI systems. Focusing on data accuracy helps in minimizing prediction errors and enhances the decision-making process based on AI insights. For more details on the importance of data quality in AI models, Salesforce provides extensive guidance in their documentation, which can be found at Data Quality and AI.

NEW QUESTION # 52
What are the key components of the data quality standard?

A. Accuracy, Completeness, Consistency
B. Reviewing, Updating, Archiving
C. Naming, formatting, Monitoring

Answer: A

Explanation:
Explanation
"Accuracy, Completeness, Consistency are the key components of the data quality standard. Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency. Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources."

NEW QUESTION # 53
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

A. Age of the dataset
B. Number of variables ipn the dataset
C. Size of the dataset

Answer: C

Explanation:
"The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect thefeasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data."

NEW QUESTION # 54
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2025 Accurate Salesforce Latest Salesforce-AI-Associate Test Prep

Salesforce-AI-Associate - Salesforce Certified AI Associate Exam Fantastic Latest Test Prep

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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