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Salesforce Certified AI Associate Exam Sample Questions (Q103-Q108):

NEW QUESTION # 103
What is an example of ethical debt?

A. Delaying an AI product launch to retrain an AI data model
B. Launching an AI feature after discovering a harmful bias
C. Violating a data privacy law and falling to pay fines

Answer: B

Explanation:
Explanation
"Launching an AI feature after discovering a harmful bias is an example of ethical debt. Ethical debt is a term that describes the potential harm or risk caused by unethical or irresponsible decisions or actions related to AI systems. Ethical debt can accumulate over time and have negative consequences for users, customers, partners, or society. For example, launching an AI feature after discovering a harmful bias can create ethical debt by exposing users to unfair or inaccurate results that may affect their trust, satisfaction, or well-being."

NEW QUESTION # 104
Which Einstein capability uses emails to create content for Knowledge articles?

A. Predict
B. Discover
C. Generate

Answer: C

Explanation:
"Einstein Generate uses emails to create content for Knowledge articles. Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base."

NEW QUESTION # 105
In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?

A. Outlining the technical specifications for Al integration
B. Providing a framework for data model accuracy
C. Ensuring ethical use of Al

Answer: C

Explanation:
The principle of Responsibility in Salesforce's Trusted AI Principles primarily focuses on ensuring that AI is used ethically. This includes making sure that AI technologies are developed and implemented in ways that are transparent, fair, and accountable, with a strong emphasis on the impact on individuals and society. The principle encourages organizations to take responsibility for the outcomes of their AI systems and to avoid unintended consequences that could harm users or society.

NEW QUESTION # 106
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

A. Usage
B. Consent
C. Duplication

Answer: C

Explanation:
"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies.
Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors,or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."

NEW QUESTION # 107
What is an example of ethical debt?

A. Delaying an AI product launch to retrain an AI data model
B. Launching an AI feature after discovering a harmful bias
C. Violating a data privacy law and failing to pay fines

Answer: B

Explanation:
Ethical debt refers to the long-term negative consequences of prioritizing speed or convenience over responsible AI development practices. Ethical debt accumulates when AI systems are deployed despite known ethical concerns, such as bias, privacy violations, or transparency issues.
Option A (Correct): Launching an AI feature after discovering harmful bias is a clear example of ethical debt because it disregards the ethical obligation to ensure fairness and non-discrimination in AI outcomes. Ignoring bias can lead to systemic issues that are difficult and costly to correct later.
Option B (Incorrect): Violating a data privacy law and failing to pay fines is a legal issue rather than an example of ethical debt. While related, ethical debt pertains more to AI decision-making and development choices.
Option C (Incorrect): Delaying an AI product launch to retrain an AI model is a responsible action that helps avoid ethical debt, rather than an example of it. This demonstrates an effort to mitigate bias and improve AI fairness before deployment.

NEW QUESTION # 108
......

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