
Salesforce AI Exam Questions

Quiz
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Other
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Professional Development
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Easy
Umesh Kumar
Used 4+ times
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41 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Cloud Kicks’ latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement?
Create personalized emails
Resend emails to inactive recipients
Remove invalid email addresses
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential outcome of using poor-quality data in AI applications?
AI model training becomes slower and less efficient.
AI models are less accurate but easier to train.
AI models may produce biased or erroneous results.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?
Providing a framework for data model accuracy
Outlining the technical specifications for AI integration
Ensuring ethical use of AI
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a benefit of a diverse, balanced, and large dataset?
Model complexity
Model trainability
Model accuracy
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
Safeguarding fundamental human rights and protecting sensitive data
Ensuring transparency in AI-driven recommendations and predictions
Taking responsibility for one's actions toward customers, partners, and society
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one technique to mitigate bias and ensure fairness in AI applications?
Using data that contains more examples of minority groups than majority groups
Excluding data features from the AI application to benefit population
Ongoing auditing and monitoring of data that is used in AI applications
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key challenge of human-AI collaboration in decision-making?
Creates a reliance on AI, potentially leading to less critical thinking and oversight
Leads to more informed and balanced decision-making
Reduces the need for human involvement in decision-making processes
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