A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?

Review and update missing lead information.

Redesign the lead conversion process.

Prioritize active leads quarterly.

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

Why is it critical to consider privacy concerns when 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

Which statement exemplifies Salesforce's honesty guideline when training AI models?

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

Minimize the AI model's carbon footprint and environmental impact during training.

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

What are the three commonly used examples of AI in CRM?

Predictive scoring, forecasting, recommendations

Predictive scoring, reporting, Image classification

Einstein Bots, face recognition, recommendations

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.

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 solutions?

Ethical AI Process Maturity Model

Ethical AI Prediction Maturity Model

Ethical AI practice Maturity Model

How does an organization benefit from using AI to personalize the shopping experience of online customers?

Customers are more likely to be satisfied with their shopping experience.

Customers are more likely to share personal information with a site that personalizes their experience.

Customers are more likely to visit competitor sites that personalize their experience.

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

What are some of the ethical challenges associated with AI?

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

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

How can data quality be assessed quality?

Leverage data quality apps from AppExchange

Build a Data Management Strategy.

Build reports to expire the data quality.

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 AI application to benefit a population

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

What is a potential source of bias in training data for AI models?

The data is skewed toward a particular demographic or source.

The data is collected in real-time from source systems.

The data is collected from a diverse range of sources and demographics.

What is the best method to safeguard customer data privacy?

Track customer data consent preferences.

Automatically anonymize all customer data.

Archive customer data on a recurring schedule.

Which features of Einstein enhance sales efficiency and effectiveness?

Opportunity Scoring, Lead Scoring, Account Insights

Opportunity List View, Lead List View, Account List view

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

What does the term 'data completeness' refer to in the context of data quality?

The degree to which all required data points are present in the dataset

The process of aggregating multiple datasets from various databases

The ability to access data from multiple sources in real time

What is machine learning?

AI that can grow its intelligence

A data model used in Salesforce

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.

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

Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine learning to generate new and original output for a given input.

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

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

What is a potential outcome of using poor-quality data in AI applications?

AI models may produce biased or erroneous results.

AI model training becomes slower and less efficient

AI models become more interpretable

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

How does AI assist in lead qualification?

Scores leads based on customer data

Creates personalized SMS campaigns

Automatically interacts with prospects

What is the significance of explainability of trusted AI systems?

Describes how AI models make decisions

Increases the complexity of AI models

Enhances the security and accuracy of AI models

What is a possible outcome of poor data quality?

Biases in data can be inadvertently learned and amplified by AI systems.

AI models maintain accuracy but have slower response times.

AI predictions become more focused and less robust.

Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

Create guardrails that mitigate toxicity and protect PII

Develop right-sized models to reduce our carbon footprint.

Be transparent when AI has created and automatically delivered content.

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Salesforce AI associate 2

49 questions

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 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?

What should an organization do to enforce consistency across accounts for newly entered records?

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality?

Cloud Kicks wants to use an AI model to predict the demand for shoes using historical data on sales and regional characteristics. What is an essential data quality dimension to achieve this goal?

How does AI which CRM help sales representatives better understand previous customer interactions?

What is a societal implication of excluding ethics in AI development?

A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?

Cloud Kicks relies on data analysis to optimize its product recommendations for customers. How will incomplete data quality impact the company's recommendations?

A business analyst (BA) is preparing a new use case for AI. They run a report to check for null values in the attributes they plan to use. Which data quality component is the BA verifying by checking for null values?

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