SALESFORCE-AI-ASSOCIATE VALID EXAM FORUM, SALESFORCE-AI-ASSOCIATE INTERACTIVE COURSE

Salesforce-AI-Associate Valid Exam Forum, Salesforce-AI-Associate Interactive Course

Salesforce-AI-Associate Valid Exam Forum, Salesforce-AI-Associate Interactive Course

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Tags: Salesforce-AI-Associate Valid Exam Forum, Salesforce-AI-Associate Interactive Course, Salesforce-AI-Associate Learning Mode, Salesforce-AI-Associate Practice Test, Real Salesforce-AI-Associate Testing Environment

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These practice exams are solely designed to help you achieve Salesforce-AI-Associate certification on the first attempt. The mock exam simulator helps you get through every topic inside out and you get overall better grades. This is because you have hands-on the most updated and most reliable Salesforce Salesforce-AI-Associate Questions created under the supervision of 90,000 Salesforce professionals.

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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.

Salesforce Certified AI Associate Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
A service leader wants use AI tohelp customer resolve their issues quicker in a guided self-serve application.
Which Einstein functionality provides the best solution?

  • A. Bots
  • B. Case Classification
  • C. Recommendation

Answer: A

Explanation:
"Bots provide the best solution for a service leader whowants to use AI to help customers resolve their issues quicker in a guided self-serve application. Bots are a feature that uses natural language processing (NLP) and natural language understanding (NLU) to create conversational interfaces that can interactwith customers using text or voice. Bots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the customer's intent and context."


NEW QUESTION # 102
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

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

Answer: A

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 # 103
What is a key challenge of human AI collaboration in decision-making?

  • A. Creates a reliance on AI, potentially leading to less critical thinking and oversight
  • B. Reduce the need for human involvement in decision-making processes
  • C. Leads to move informed and balanced decision-making

Answer: A

Explanation:
Explanation
"A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight. Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task. Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems.
However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight. For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale."


NEW QUESTION # 104
Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.
Which dimension of data quality is affected in this scenario?

  • A. Consistency
  • B. Completeness
  • C. Accuracy

Answer: A

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


NEW QUESTION # 105
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

  • A. Ensuring transparency In Al-driven recommendations and predictions
  • B. Safeguarding fundamental human rights and protecting sensitive data
  • C. Taking responsibility for one's actions toward customers, partners, and society

Answer: C

Explanation:
"The main focus of the Accountability principle in Salesforce's Trusted AI Principles is taking responsibility for one's actions toward customers,partners, and society. Accountability means that AI systems should be designed and developed with respect for the impact and consequences of their actions on others.
Accountability also means that AI developers and users should be aware of and adhere to the ethical, legal, and regulatory standards and expectations of their industry and domain."


NEW QUESTION # 106
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