Salesforce-AI-Associate Free Exam Study Guide! (Updated 103 Questions) [Q61-Q84]

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Salesforce-AI-Associate Free Exam Study Guide! (Updated 103 Questions)

Salesforce-AI-Associate Dumps for AI Associate Certified Exam Questions and Answer

NO.61 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

NO.62 Which features of Einstein enhance sales efficiency and effectiveness?

Opportunity List View, Lead List View, Account List view

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

Opportunity Scoring, Lead Scoring, Account Insights

NO.63 What are the key components of the data quality standard?

Reviewing, Updating, Archiving

Naming, formatting, Monitoring

Accuracy, Completeness, Consistency

NO.64 What is one technique to mitigate bias and ensure fairness in AI applications?

Ongoing auditing and monitoring of data that is used in AI applications

Excluding data features from the Al application to benefit a population

Using data that contains more examples of minority groups than majority groups

NO.65 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.

NO.66 What is a benefit of a diverse, balanced, and large dataset?

Training time

Data privacy

Model accuracy

NO.67 What is an example of Salesforce’s Trusted AI Principle of Inclusivity in practice?

Testing models with diverse datasets

Striving for model explain ability

Working with human rights experts

NO.68 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

NO.69 How does the “right of least privilege” reduce the risk of handling sensitive personal data?

By limiting how many people have access to data

By reducing how many attributes are collected

By applying data retention policies

NO.70 Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

Confirmation

Survivorship

Societal

NO.71 Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, withmissing 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.

NO.72 Which best describes the different between predictive AI and generative AI?

Predictive new and original output for a given input.

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

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

NO.73 Which statement exemplifies Salesforces honesty guideline when training AI models?

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

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

Control bias, toxicity, and harmful content withembedded guardrails and guidance.

NO.74 What should organizations do to ensure data quality for their AI initiatives?

Collect and curate high-quality data from reliable sources.

Rely on AI algorithms to automatically handle data quality issues.

Prioritize model fine-tuning over data quality improvements.

NO.75 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

NO.76 In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

Empower users to off all skill level to build AI application with clicks, not code.

Empower users to contribute to the growing body of knowledge of leading AIresearch.

Empower users to solve challenging technical problems using neural networks.

NO.77 Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company’s recommendations?

The response time for the product

The accuracy of the product

The diversity of the product

NO.78 Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?

Dashboard of Current Leads and Cases

Sales path and Automaton Case Escalations

Einstein Lead Scoring and Case Classification

NO.79 What is the main focus of the Accountability principle in Salesforce’s Trusted AI Principles?

Safeguarding fundamental human rights and protecting sensitive data

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

Ensuring transparency In Al-driven recommendations and predictions

NO.80 What is the role of Salesforce Trust AI principles in the context of CRM system?

Guiding ethical and responsible use of AI

Providing a framework for AI data model accuracy

Outlining the technical specifications for AI integration

NO.81 Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

Duplication

Usage

Consent

NO.82 Why is it critical to consider privacy concernswhen dealing with AI and CRM data?

Ensures compliance with laws and regulations

Confirms the data is accessible to all users

Increases the volume of data collected

NO.83 What is Salesforce’s Trusted AI Principle of Transparency?

The customization of AT features to meet specific business requirements

The integration of AT models with Salesforce workflows

The clear and understandable explanation of Al decisions and actions

NO.84 A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce’s Trusted AI Principle of Transparency?

Communicate how risk factors such as credit score can impact customer eligibility.

Flag sensitive variables and their proxies to prevent discriminatory lending practices.

Incorporate customer feedback into the model’s continuous training.

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Salesforce-AI-Associate Free Exam Study Guide! (Updated 103 Questions) [Q61-Q84]

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