TEST SALESFORCE SALESFORCE-AI-ASSOCIATE REGISTRATION, NEW SALESFORCE-AI-ASSOCIATE EXAM PREPARATION

Test Salesforce Salesforce-AI-Associate Registration, New Salesforce-AI-Associate Exam Preparation

Test Salesforce Salesforce-AI-Associate Registration, New Salesforce-AI-Associate Exam Preparation

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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New Salesforce-AI-Associate Exam Preparation & Latest Salesforce-AI-Associate Exam Book

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Salesforce Certified AI Associate Exam Sample Questions (Q26-Q31):

NEW QUESTION # 26
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. Size of the dataset
  • C. Number of variables ipn the dataset

Answer: B

Explanation:
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 the feasibility 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 # 27
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 AI research.
  • B. Empower users to solve challenging technical problems using neural networks.
  • C. Empower users to off all skill level to build AI application with clicks, not code.

Answer: C

Explanation:
Explanation
"The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment is one 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 # 28
The Cloud technical team is assessing the effectiveness of their AI development processes?
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?

  • A. Ethical AI Prediction Maturity Model
  • B. Ethical AI Process Maturity Model
  • C. Ethical AI practice Maturity Model

Answer: B

Explanation:
Explanation
"The Ethical AI Process Maturity Model is the established Salesforce Ethical Maturity Model that the Cloud technical team should use to guide the development of trusted AI solutions. The Ethical AI Process Maturity Model is a framework that helps assess and improve the ethical and responsible practices and processes involved in developing and deploying AI systems. The Ethical AI Process Maturity Model consists of five levels of maturity: Ad Hoc, Aware, Defined, Managed, and Optimized. The Ethical AI Process Maturity Model can help guide the development of trusted AI solutions by providing a roadmap and best practices for achieving higher levels of ethical maturity."


NEW QUESTION # 29
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing 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 accuracy of product recommendations is hindered.
  • C. The diversity of product recommendations Is Improved.

Answer: B

Explanation:
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 # 30
What is a key characteristic of machine learning in the context of AI capabilities?

  • A. Relies on preprogrammed rules to make decisions
  • B. Uses algorithms to learn from data and make decisions
  • C. Can perfectly mimic human intelligence anddecision-making

Answer: B

Explanation:
"Machine learning is a key characteristic of AI capabilities that uses algorithms to learn from data and make decisions. Machine learning is a branch of AI that enables computers to learn from data without being explicitly programmed. Machine learning algorithms can analyze data, identify patterns, and make predictions or recommendations based on the data."


NEW QUESTION # 31
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