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Salesforce AI Associate Exam Questions

Exam Name: Salesforce Certified AI Associate
Exam Code: Salesforce AI Associate
Related Certification(s):
  • Salesforce AI Associate Certifications
  • Salesforce Associate Certifications
Certification Provider: Salesforce
Actual Exam Duration: 70 Minutes
Number of Salesforce AI Associate practice questions in our database: 102 (updated: Nov. 12, 2024)
Expected Salesforce AI Associate Exam Topics, as suggested by Salesforce :
  • 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.
  • Topic 2: AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
  • Topic 3: 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 Trusted AI Principles of Salesforce to given scenarios.
  • 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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Larae

11 days ago
I successfully passed the Salesforce Certified AI Associate exam, and the Pass4Success practice questions played a big role. One question that caught me off guard was about ethical considerations of AI, particularly how to handle AI decision-making transparency. I wasn't entirely sure of the best practices, but I still managed to pass.
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Wai

22 days ago
Certified AI Associate now! Pass4Success really helped me get ready in record time.
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Meghan

26 days ago
Happy to share that I passed the Salesforce Certified AI Associate exam! The Pass4Success practice questions were very useful. There was a question on AI fundamentals that asked about the differences between supervised and unsupervised learning. I was a bit unsure about the specifics, but it worked out in the end.
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Aja

1 months ago
I passed the Salesforce Certified AI Associate exam, thanks in part to the Pass4Success practice questions. One challenging question was about AI capabilities in CRM, specifically how AI can enhance customer relationship management through predictive analytics. I had to think hard about the best examples to use.
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Marleen

2 months ago
Whew, that exam was tough! Glad I used Pass4Success to prepare. Their questions were a lifesaver.
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Dalene

2 months ago
Just cleared the Salesforce Certified AI Associate exam! The Pass4Success practice questions were a lifesaver. There was a tricky question about data for AI, asking how to ensure data quality and integrity in AI projects. I wasn't completely confident in my answer, but it seems I did well enough overall.
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Dannette

2 months ago
I recently passed the Salesforce Certified AI Associate exam, and I must say, the Pass4Success practice questions were incredibly helpful. One of the questions that stumped me was about the ethical considerations of AI, specifically regarding bias in AI algorithms. It asked how to mitigate bias in machine learning models, and I wasn't entirely sure of the best approach, but I managed to pass the exam.
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Annita

2 months ago
Passed thanks to thorough preparation! Einstein Voice was covered. Know its applications in conversational AI. Pass4Success questions were spot-on!
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Ciara

3 months ago
Just passed the Salesforce AI Associate exam! Thanks Pass4Success for the spot-on practice questions.
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Catrice

3 months ago
Passing the Salesforce Certified AI Associate exam was a great achievement for me, and I owe a big thanks to Pass4Success practice questions for helping me prepare. The exam covered important topics like AI Fundamentals and AI Capabilities in CRM. One question that I remember struggling with was about the major principles of AI within Salesforce and how they can be applied in real-world scenarios. Despite my initial doubts, I managed to pass the exam successfully.
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Margarita

4 months ago
My experience taking the Salesforce Certified AI Associate exam was challenging but rewarding. Thanks to Pass4Success practice questions, I was able to confidently answer questions on AI Fundamentals and AI Capabilities in CRM. One question that I found particularly interesting was about the benefits of AI in CRM and how it can enhance customer relationships. Despite some initial uncertainty, I was able to pass the exam.
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Vinnie

5 months ago
Nailed the Salesforce AI Associate exam today! Pass4Success's questions were so similar to the real thing. Great resource!
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German

5 months ago
I recently passed the Salesforce Certified AI Associate exam with the help of Pass4Success practice questions. The exam covered topics such as AI Fundamentals and AI Capabilities in CRM. One question that stood out to me was related to the different types of AI and their capabilities. Although I was unsure of the answer at first, I managed to pass the exam successfully.
upvoted 0 times
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Herschel

5 months ago
Just passed the Salesforce AI Associate exam! Thanks Pass4Success for the spot-on practice questions. Saved me tons of study time!
upvoted 0 times
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Louann

6 months ago
Salesforce AI Associate cert achieved! Pass4Success's exam prep was invaluable. Couldn't have done it without you!
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Lindsey

6 months ago
Data preparation was crucial. Be ready to identify steps for cleaning and preparing data for AI models. Understanding data quality and its impact on AI outcomes is essential for success in this certification.
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Roy

6 months ago
Wow, that exam was tough! But Pass4Success's materials were a lifesaver. Passed on my first try!
upvoted 0 times
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Kimbery

6 months ago
Thrilled to have passed the Salesforce AI Associate exam! Pass4Success's materials were key to my quick preparation. Thank you!
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Free Salesforce Salesforce AI Associate Exam Actual Questions

Note: Premium Questions for Salesforce AI Associate were last updated On Nov. 12, 2024 (see below)

Question #3

What is an example of ethical debt?

Reveal Solution Hide Solution
Correct Answer: B

''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.''


Question #4

A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.

Which Salesforce Trusted AI Principles is being practiced>

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Correct Answer: B

''Conducting a series of Consequence Scanning workshops to support testing diverse datasets is an action that practices Salesforce's Trusted AI Principle of Inclusivity. Inclusivity is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Conducting Consequence Scanning workshops means engaging with various stakeholders to identify and assess the potential impacts and implications of AI systems on different groups or domains. Conducting Consequence Scanning workshops can help practice Inclusivity by ensuring that diverse datasets are used to test and evaluate AI systems.''


Question #5

A financial institution plans a campaign for preapproved credit cards?

How should they implement Salesforce's Trusted AI Principle of Transparency?

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Correct Answer: B

''Flagging sensitive variables and their proxies to prevent discriminatory lending practices is how they should implement Salesforce's Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with. Flagging sensitive variables and their proxies means identifying and marking variables that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems.''


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