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Salesforce-AI-Associate Salesforce Certified AI Associate Exam (SU23) Question and Answers

Question # 4

A customer using Einstein Prediction Builder is confused about why a certain prediction was made.

Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A.

An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles

B.

An explanation of the prediction's rationale and a model card that describes how the model was created

C.

A marketing article of the product that clearly outlines the oroduct's capabilities and features

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Question # 5

Which features of Einstein enhance sales efficiency and effectiveness?

A.

Opportunity List View, Lead List View, Account List view

B.

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

C.

Opportunity Scoring, Lead Scoring, Account Insights

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Question # 6

What are the key components of the data quality standard?

A.

Naming, formatting, Monitoring

B.

Accuracy, Completeness, Consistency

C.

Reviewing, Updating, Archiving

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Question # 7

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

A.

Transactional

B.

Engagement

C.

Demographic

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Question # 8

Salesforce defines bias as using a person's Immutable traits to classify them or market to them.

Which potentially sensitive attribute is an example of an immutable trait?

A.

Financial status

B.

Nickname

C.

Email address

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Question # 9

What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

A.

Safeguarding fundamental human rights and protecting sensitive data

B.

Taking responsibility for one's actions toward customers, partners, and society

C.

Ensuring transparency In Al-driven recommendations and predictions

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Question # 10

Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.

Which feature should be used to accomplish this?

A.

Duplicate management

B.

Trigger deletion of old records

C.

Standardized field names

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Question # 11

Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst.

Which data quality dimension is affected in this scenario?

A.

Completeness

B.

Accuracy

C.

Consistency

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Question # 12

Which statement exemplifies Salesforces honesty guideline when training AI models?

A.

Minimize the AI models carbon footprint and environment impact during training.

B.

Ensure appropriate consent and transparency when using AI-generated responses.

C.

Control bias, toxicity, and harmful content with embedded guardrails and guidance.

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Question # 13

Which best describes the different between predictive AI and generative AI?

A.

Predictive new and original output for a given input.

B.

Predictive AI and generative have the same capabilities differ in the type of input they receive: predictive AI receives raw data whereas generation AI receives natural language.

C.

Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output

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Question # 14

What can bias in AI algorithms in CRM lead to?

A.

Personalization and target marketing changes

B.

Advertising cost increases

C.

Ethical challenges in CRM systems

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Question # 15

What role does data quality play in the ethical us of AI applications?

A.

High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi…

B.

High-quality data ensures the process of demographic attributes requires for personalized campaigns.

C.

Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

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Question # 16

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.

What should the company do first to prepare its data for use with AI?

A.

Remove biased data.

B.

Determine data availability.

C.

Determine data outcomes.

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Question # 17

What are some of the ethical challenges associated with AI development?

A.

Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

B.

Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions

C.

Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

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Question # 18

Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?

What to a potential mason for this?

A.

Poor data quality

B.

The wrong product

C.

Too much data

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Question # 19

Cloud kicks wants to develop a solution to predict customers’ interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.

Which dimension of data quality is affected in this scenario?

A.

Accuracy

B.

Consistency

C.

Completeness

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Question # 20

What is machine learning?

A.

AI that can grow its intelligence

B.

AI that creates new content

C.

A data model used in Salesforce

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Question # 21

The Cloud technical team is assessing the effectiveness of their AI development processes?

Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?

A.

Ethical AI Prediction Maturity Model

B.

Ethical AI Process Maturity Model

C.

Ethical AI practice Maturity Model

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