SALESFORCE-AI-ASSOCIATE DUMPS PDF, SALESFORCE-AI-ASSOCIATE EXAM QUESTIONS AND ANSWERS, FREE SALESFORCE-AI-ASSOCIATE DUMPS

Salesforce-AI-Associate dumps PDF, Salesforce-AI-Associate exam questions and answers, free Salesforce-AI-Associate dumps

Salesforce-AI-Associate dumps PDF, Salesforce-AI-Associate exam questions and answers, free Salesforce-AI-Associate dumps

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
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
  • 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.

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Salesforce Certified AI Associate Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

  • A. Dashboard of Current Leads and Cases
  • B. Sales path and Automaton Case Escalations
  • C. Einstein Lead Scoring and Case Classification

Answer: C

Explanation:
Explanation
"Einstein Lead Scoring and Case Classification are the capabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI to optimize sales and service processes by providing insights and recommendations based on data. Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."


NEW QUESTION # 95
What is the best method to safeguard customer data privacy?

  • A. Track customer data consent preferences.
  • B. Archive customer data on a recurring schedule.
  • C. Automatically anonymize all customer data.

Answer: A

Explanation:
"Tracking customer data consent preferences is the best method to safeguard customer data privacy. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Tracking customer data consent preferences means respecting and honoring the choices and preferencesof customers regarding their personal data. Tracking customer data consent preferences can help ensure compliance with data privacy laws and regulations, as well as build trust and loyalty with customers."


NEW QUESTION # 96
What is a potential outcome of using poor-quality data in AI application?

  • A. AI models become more interpretable
  • B. AI model training becomes slower and less efficient
  • C. AI models may produce biased or erroneous results.

Answer: C

Explanation:
Explanation
"A potential outcome of using poor-quality data in AI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete,inconsistent, irrelevant, or outdated for the AI task. Poor-quality data can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting."


NEW QUESTION # 97
How does AI which CRM help sales representatives better understand previous customer interactions?

  • A. Triggers personalized service replies
  • B. Creates, localizes, and translates product descriptions
  • C. Provides call summaries

Answer: C

Explanation:
Explanation
"Providing call summaries is how AI with CRM helps sales representatives better understand previous customer interactions. Call summaries are a feature that uses natural language processing (NLP) to analyze voice conversations between sales representatives and customers and generate summaries or transcripts of the calls. Call summaries can help sales representatives better understand previous customer interactions by providing key information, insights, or action items from the calls."


NEW QUESTION # 98
How does data quality impact the trustworthiness of Al-driven decisions?

  • A. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
  • B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
  • C. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

Answer: C

Explanation:
"High-quality dataimproves the reliability and credibility of AI-driven decisions, fostering trust among users.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AIsystems."


NEW QUESTION # 99
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