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| Topic |
Details |
| 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.
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| 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.
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| Topic 3 |
- AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
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| 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.
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Salesforce Certified AI Associate Exam Sample Questions (Q12-Q17):
NEW QUESTION # 12
Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a...
How can data quality be assessed quality?
- A. Build reports to expire the data quality.
- B. Build a Data Management Strategy.
- C. Leverage data quality apps from AppExchange
Answer: C
Explanation:
"Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learnfrom and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions thatcan help measure, monitor, or improve data quality in Salesforce."
NEW QUESTION # 13
What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?
- A. Different types of AI that can be applied in Salesforce
- B. Different types of automation tools used in Salesforce
- C. Different types of data models used in Salesforce
Answer: A
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 # 14
Why is it critical to consider privacy concernswhen dealing with AI and CRM data?
- A. Ensures compliance with laws and regulations
- B. Increases the volume of data collected
- C. Confirms the data is accessible to all users
Answer: A
Explanation:
"It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that defineand enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AIand CRM data can be handled."
NEW QUESTION # 15
Which type of bias imposes a system 's values on others?
- A. Automation
- B. Societal
- C. Association
Answer: B
Explanation:
Explanation
"Societal bias is the type of bias that imposes a system's values on others. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. Societal bias can affect the fairness and ethics of AI systems, as they may affect how different groups or domains are perceived, treated, or represented by AI systems. For example, societal bias can occur when AI systems impose a system's values on others, such as using Western standards of beauty or success to judge or rank people from other cultures."
NEW QUESTION # 16
Which type of bias results from data being labeled according to stereotypes?
- A. Interaction
- B. Societal
- C. Association
Answer: B
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 # 17
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