EXCEL IN YOUR SALESFORCE SALESFORCE-AI-ASSOCIATE EXAM WITH EXAMTORRENT: THE QUICK SOLUTION FOR SUCCESS

Excel in Your Salesforce Salesforce-AI-Associate Exam with ExamTorrent: The Quick Solution for Success

Excel in Your Salesforce Salesforce-AI-Associate Exam with ExamTorrent: The Quick Solution for Success

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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
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 3
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 4
  • 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.

Salesforce Certified AI Associate Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

  • A. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.
  • B. Test with diverse and representative datasets appropriate for how the model will be used.
  • C. Test only with data from a specific region or demographic to limit the risk of data leaks.

Answer: B

Explanation:
Explanation
"Testing with diverse and representative datasets appropriate for how the model will be used aligns with Salesforce's Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences.
Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."


NEW QUESTION # 64
Which features of Einstein enhance sales efficiency and effectiveness?

  • A. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
  • B. Opportunity Scoring, Lead Scoring, Account Insights
  • C. Opportunity List View, Lead List View, Account List view

Answer: B

Explanation:
"Opportunity Scoring, Lead Scoring, Account Insights are features of Einstein that enhance sales efficiency and effectiveness. Opportunity Scoring and Lead Scoring use predictive models to assign scores to opportunities and leads based on their likelihood to close or convert. Account Insights use natural language processing (NLP) to provide relevant news and insights about accounts based on their industry, location, or events."


NEW QUESTION # 65
Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
Which feature should be used to accomplish this?

  • A. Trigger deletion of old records
  • B. Duplicate management
  • C. Standardized field names

Answer: B

Explanation:
"Duplicate management should be used to remove multiple records for the same customer in Salesforce.
Duplicate managementis a feature that helps prevent and manage duplicate records in Salesforce. Duplicate management can help define matching rules, duplicate rules, and alert messages to detect and merge duplicate records."


NEW QUESTION # 66
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 data models used in Salesforce
  • C. Different types of AI that can be applied in Salesforce

Answer: C

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 # 67
Which best describes the different between predictive AI and generative AI?

  • A. Predictive new and original output for a given input.
  • B. Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output
  • C. Predictive AI and generative have the same capabilities differ in the type of input they receive:
    predictive AI receives raw data whereas generation AI receives natural language.

Answer: A

Explanation:
"The difference between predictive AI and generative AI is that predictive AI analyzes existing data to make predictions or recommendations based on patterns or trends, while generative AI creates new content based on existing data or inputs. Predictive AI is a type of AI that uses machine learning techniques to learn from existing data and make predictions or recommendations based on the data. For example, predictive AI can be used to forecast sales, revenue, or demand based on historical data and trends. Generative AI is a type of AI that uses machine learning techniques to generate novel content such as images, text, music, or video based on existing data or inputs. For example, generative AI can be used to create realistic faces, write summaries, compose songs, or produce videos."


NEW QUESTION # 68
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