Dec 10, 2023 PASS Salesforce Salesforce-AI-Associate EXAM WITH UPDATED DUMPS [Q38-Q52]

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Dec 10, 2023 PASS Salesforce Salesforce-AI-Associate EXAM WITH UPDATED DUMPS

Salesforce-AI-Associate Questions PDF [2023] Use Valid New dump to Clear Exam

QUESTION 38
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

Test only with data from a specific region or demographic to limit the risk of data leaks.

Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.

Test with diverse and representative datasets appropriate for how the model will be used.

QUESTION 39
What is a Key consideration regarding data quality in AI implementation?

Techniques from customizing AI features in Salesforce

Data’s role in training and fine-tuning Salesforce AI models

Integration process of AI models with Salesforce workflows

QUESTION 40
To avoid introducing unintended bias to an AI model, which type of data should be omitted?

Transactional

Engagement

Demographic

QUESTION 41
A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?

Lead soring and opportunity forecasting

Sales dashboards and reporting

Data modeling and management

QUESTION 42
What are some of the ethical challenges associated with AI development?

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

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

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

QUESTION 43
Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges.
What should they consider doing to minimize potential AI bias?

Integrate AI models that auto-correct biased data.

Implement Salesforce’s Trusted AI Principles.

Use demographic data to identify minority groups.

QUESTION 44
What role does data quality play in the ethical us of AI applications?

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

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

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

QUESTION 45
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?

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

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

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

QUESTION 46
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.
How will this incomplete data quality impact the company’s operations?

The accuracy of product recommendations is hindered.

The diversity of product recommendations Is Improved.

The response time for product recommendations is stalled.

QUESTION 47
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…

Geographic

Cryptographic

QUESTION 48
What is the best method to safeguard customer data privacy?

Automatically anonymize all customer data.

Track customer data consent preferences.

Archive customer data on a recurring schedule.

QUESTION 49
What is a potential outcome of using poor-quality data in AI application?

AI model training becomes slower and less efficient

AI models may produce biased or erroneous results.

AI models become more interpretable

QUESTION 50
What are some key benefits of AI in improving customer experiences in CRM?

Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Fully automates the customer service experience, ensuring seamless automated interactions with customers

QUESTION 51
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

Number of variables ipn the dataset

Size of the dataset

Age of the dataset

QUESTION 52
What is a key challenge of human AI collaboration in decision-making?

Leads to move informed and balanced decision-making

Creates a reliance on AI, potentially leading to less critical thinking and oversight

Reduce the need for human involvement in decision-making processes

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