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Salesforce Salesforce-AI-Associate Trustworthy Dumps, Salesforce-AI-Associate Authorized Certification

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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 the 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

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

Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

Salesforce Certified AI Associate Exam Sample Questions (Q83-Q88):

NEW QUESTION # 83
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 # 84
Which Einstein capability uses emails to create content for Knowledge articles?

A. Generate
B. Predict
C. Discover

Answer: A

Explanation:
"Einstein Generate uses emails to create content for Knowledge articles. Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base."

NEW QUESTION # 85
What is machine learning?

A. AI that creates new content
B. A data model used in Salesforce
C. AI that can grow its intelligence

Answer: B

Explanation:
Explanation
"A data model is a machine learning feature used in Salesforce. A data model is a representation or abstraction of a real-world phenomenon or process using data structures and algorithms. A data model can be used to describe, analyze, or predict various aspects of the phenomenon or process using machine learning techniques."

NEW QUESTION # 86
What is one technique to mitigate bias and ensure fairness in AI applications?

A. Ongoing auditing and monitoring of data that is used in AI applications
B. Using data that contains more examples of minority groups than majority groups
C. Excluding data features from the Al application to benefit a population

Answer: A

Explanation:
A technique to mitigate bias and ensure fairness in AI applications is ongoing auditing and monitoring of the data used in AI applications. Regular audits help identify and address any biases that may exist in the data, ensuring that AI models function fairly and without prejudice. Monitoring involves continuously checking the performance of AI systems to safeguard against discriminatory outcomes. Salesforce emphasizes the importance of ethical AI practices, including transparency and fairness, which can be further explored through Salesforce's AI ethics guidelines at Salesforce AI Ethics.

NEW QUESTION # 87
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

A. Chances of bias are aggravated
B. Chances of bIas and mitigated
C. Chances of bias are remove

Answer: B

Explanation:
A benefit of data quality and transparency as it pertains to bias in generated AI is that the chances of bias are mitigated. High data quality ensures that AI models are trained on accurate and representative data, reducing the risk of biased outcomes. Transparency in AI processes helps stakeholders understand how decisions are made, allowing for the identification and correction of potential biases. Together, these practices contribute to the development of fairer and more accountable AI systems. Salesforce highlights the importance of these principles in its AI practices, particularly through its ethical AI framework, which advocates for fairness and accountability. More on Salesforce's commitment to promoting unbiased AI can be found in their AI ethics guidelines at Salesforce AI Ethics.

NEW QUESTION # 88
......

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Will Reed Will Reed

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