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Salesforce Certified AI Associate Exam Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which type of bias imposes a system 's values on others?

A. Automation
B. Association
C. Societal

Answer: C

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 # 26
What is a possible outcome of poor data quality?

A. AI predictions become more focused and less robust.
B. Biases in data can be inadvertently learned and amplified by AI systems.
C. AI models maintain accuracy but have slower response times.

Answer: B

Explanation:
"A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems."

NEW QUESTION # 27
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 only with data from a specific region or demographic to limit the risk of data leaks.
C. Test with diverse and representative datasets appropriate for how the model will be used.

Answer: C

Explanation:
"Testing with diverseand 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 # 28
How does data quality impact the trustworthiness of Al-driven decisions?

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

Answer: C

Explanation:
Explanation
"High-quality data improves 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 AI systems."

NEW QUESTION # 29
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 AI that can be applied in Salesforce
C. Different types of data models used in Salesforce

Answer: B

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 # 30
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