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Salesforce AI Exam Questions

Authored by Umesh Kumar

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Professional Development

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Salesforce AI Exam Questions
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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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