PRACTICE SALESFORCE-AI-ASSOCIATE TESTS | TEST SALESFORCE-AI-ASSOCIATE TESTKING

Practice Salesforce-AI-Associate Tests | Test Salesforce-AI-Associate Testking

Practice Salesforce-AI-Associate Tests | Test Salesforce-AI-Associate Testking

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
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
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
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 (Q25-Q30):

NEW QUESTION # 25
How does the "right of least privilege" reduce the risk of handling sensitive personal data?

  • A. By limiting how many people have access to data
  • B. By applying data retention policies
  • C. By reducing how many attributes are collected

Answer: A

Explanation:
"The "right of least privilege" reduces the risk of handling sensitive personal data by limiting how many people have access to data. The "right of least privilege" is a security principle that states that each user or system should have the minimum level of access or privilege necessary to perform their tasks or functions.
The "right of least privilege" can help protect sensitive personal data from unauthorized access, misuse, or leakage."


NEW QUESTION # 26
How is natural language processing (NLP) used in the context of AI capabilities?

  • A. To cleanse and prepare data for AI implementations
  • B. To understand and generate human language
  • C. To interpret and understand programming language

Answer: B

Explanation:
Explanation
"Natural language processing (NLP) is used in the context of AI capabilities to understand and generate human language. NLP can enable AI systems to interact with humans using natural language, such as speech or text. NLP can also enable AI systems to analyze and extract information from natural language data, such as documents, emails, or social media posts."


NEW QUESTION # 27
Which best describes the different between predictive AI and generative AI?

  • A. 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.
  • B. Predictive new and original output for a given input.
  • C. 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

Answer: B

Explanation:
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 togenerate 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 # 28
What can bias in AI algorithms in CRM lead to?

  • A. Ethical challengesin CRM systems
  • B. Advertising cost increases
  • C. Personalization and target marketing changes

Answer: A

Explanation:
"Bias in AI algorithms in CRM can lead to ethical challenges in CRM systems. Bias means that AI algorithms favor or discriminate certain groups or outcomes based on irrelevant or unfair criteria. Bias can affect the fairness andethics of CRM systems, as they may affect how customers are perceived, treated, or represented by AI algorithms. For example, bias can lead to ethical challenges in CRM systems if AI algorithms make inaccurate or harmful predictions or recommendations based on customers' identity or characteristics."


NEW QUESTION # 29
Which type of bias results from data being labeled according to stereotypes?

  • A. Societal
  • B. Association
  • C. Interaction

Answer: A

Explanation:
Explanation
"Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes."


NEW QUESTION # 30
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