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Exam (elaborations)

Salesforce AI Associate Exam Questions with Detailed Verified Answers (100% Correct Answers) /Already Graded A+

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Salesforce AI Associate Exam Questions with Detailed Verified Answers (100% Correct Answers) /Already Graded A+

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Salesforce AI Associate Questions with
Detailed Verified Answers (100% Correct
Answers) /Already Graded A+
Q1. Which of the following is a common concern about Generative AI?
A. Deep learning
B. Natural language processing
C. Hallucinations
Ans: Answer: C. Hallucinations

Predictions from generative AI that diverge from an expected response, grounded in facts,
are known as hallucinations. They happen for a few reasons, like if the training data was
incomplete or biased, or if the model was not designed well.

Q2. Which type of AI combines algorithms and deep learning neural network techniques to
generate content that is based on the patterns it observes in other content?
A. Predictive AI
B. Generative AI
C. Narrow AI
Ans: Answer: B. Generative AI

Generative AI combines algorithms and deep learning neural network techniques to generate
content that is based on the patterns it observes in other content.

Q3. How can Customers benefit from CRM with generative AI?
A. Get a consistent experience across all channels of engagement
B. Get suggestions about product not to purchase
C. Get advice on reducing license cost
Ans: Answer: A
A CRM with generative AI gives customers a consistent experience across all channels of
engagement, from marketing to sales to customer service and more.

Q4. Which of the following is one of the Salesforce's Trusted AI Principles?

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A. Accuracy
B. Accountable
C. Sustainable
Ans: Answer: B
Salesforce's Trusted AI Principles.

Q5. Which of the following in one of the five guidelines Salesforce is using to guide the
development of trusted generative AI?
A. Accuracy
B. Accountable
C. Transparent
Ans: Answer: A
Five guidelines Salesforce is using to guide the development of trusted generative AI.

Q6. Which of the following is a milestone in Ethical AI Practice Maturity Model?
A. Accurate & Accountable
B. Managed & Sustainable
C. Responsible & Inclusive
Ans: Answer: B
Ethical AI Practice Maturity Model.

Q7. Which of the following is one of the perceived risks of real-time personalization in
marketing?
A. Automated spam emails
B. Encouraging unhealthy habits
C. Data being collected, shared, or used in unanticipated ways
Ans: Answer: C
Biggest perceived risks of real-time personalization in marketing: Security events, like data
breaches; Data being collected, shared, or used in unanticipated ways; Personalizing
interactions that feel invasive or unwanted to consumers; Inadvertent bias introduced by
relying on demographic attributes for interactions instead of behavioral and engagement
data.

Q8. Which of the following is a factor that can determine the quality of data used for
training AI models?
A. Data Compatibility
B. Duplicate Records

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C. Data Volume
Ans: Answer: B
Factors that determine data quality: Missing Records, Duplicate Records, No Data Standards,
Incomplete Records, Stale Data.

Q9. Which of the following is a Data Quality Dimension?
A. Naming Convention
B. Completeness
C. Formatting
Ans: Answer: B
Data Quality Dimensions: Age, Completeness, Accuracy, Consistency, Duplication, Usage.

Q10. What is AI Hallucination?
A. A confident response by an AI that does not seem to be justified by its training data
B. AI systems begin to perceive and interact with fictional and fantastical entities in their
virtual worlds
C. AI systems start exhibiting behaviors reminiscent of characters from classic literature
Ans: Answer: A
Hallucinations: Predictions from generative AI that diverge from an expected response,
grounded in facts, are known as hallucinations. They happen for a few reasons, like if the
training data was incomplete or biased, or if the model was not designed well.

Q11. What is the primary goal of generative AI?
A. Classifying images
B. Generating new data that is similar to existing data
C. Solving mathematical equations
Ans: Answer: B
The primary goal of generative AI is to generate new data that is similar to existing data.

Q12. How can generative AI be applied in CRM systems?
A. By automating the entire customer service department
B. By generating random customer complaints for practice
C. By generating personalized responses and content for customer interactions
Ans: Answer: C
Generative AI can be applied in CRM systems by generating personalized responses and
content for customer interactions.

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