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

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.

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.

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

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

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

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

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.

Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?

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

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.

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

Implement Salesforce's Trusted AI Principles.

Integrate AI models that auto-correct biased data.

Use demographic data to identify minority groups.

Which features of Einstein enhance sales efficiency and effectiveness?

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

Opportunity List View, Lead List View, Account List view

Opportunity Scoring, Lead Scoring, Account Insights

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

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

Safeguarding fundamental human rights and protecting sensitive data

Ensuring transparency In Al-driven recommendations and predictions

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

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

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

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 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

What is the key difference between generative and predictive AI?

Generative AI creates new content based on existing data and predictive AI analyzes existing data.

Generative AI finds content similar to existing data and predictive AI analyzes existing data.

Generative AI analyzes existing data and predictive AI creates new content based on existing data.

What is a key benefit of effective interaction between humans and AI systems?

Leads to more informed and balanced decision making

Alerts humans to the presence of biased data

Reduces the need for human involvement

What is a key characteristic of machine learning in the context of AI capabilities?

Uses algorithms to learn from data and make decisions

Relies on preprogrammed rules to make decisions

Can perfectly mimic human intelligence and decision-making

Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce. Which feature should be used to accomplish this?

Trigger deletion of old records

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

What is an implication of user consent in regard to AI data privacy?

AI infringes on privacy when user consent is not obtained.

AI ensures complete data privacy by automatically obtaining user consent.

AI operates Independently of user privacy and consent.

How does data quality impact the trustworthiness of AI-driven decisions?

High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users.

The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.

Low-quality data reduces the risk of overfitting.

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 in the dataset

What is machine learning?

AI that can grow its intelligence

A data model used in Salesforce

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

Create guardrails that mitigates toxicity and protect PII

Develop right-sized models to reduce our carbon footprint.

Be transparent when AI has created and automatically delivered content.

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 sources systems.

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

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 AI research.

Empower users to solve challenging technical problems using neural networks.

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a… How can data quality be assessed?

Build a Data Management Strategy.

Build reports to expire the data quality.

Leverage data quality apps from AppExchange

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

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

Techniques from customizing AI features in Salesforce

Integration process of AI models with Salesforce workflows

Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capacity should they use?

Einstein Lead Scoring and Case Classification

Dashboard of Current Leads and Cases

Sales path and Automation Case Escalations

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

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

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

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

AI and Data Quality Quiz

Authored by Shilpa Mohanan

Computers

12th Grade

Used 1+ times

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114 questions

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MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a benefit of a diverse, balanced, and large dataset?

Training time

Data privacy

Model accuracy

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Predictive scoring, reporting, Image classification

Predictive scoring, forecasting, recommendations

Einstein Bots, face recognition, recommendations

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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?

Remove biased data.

Determine data availability.

Determine data outcomes

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data Quality play In this AI application?

Enhanced accuracy and reliability of medical predictions and diagnoses

Ensured compatibility of AI algorithms with the system's Infrastructure

Reduced need for healthcare expertise in interpreting AI outouts

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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 decisionmaking

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?

Usage

Accuracy

Consistency

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is natural language processing (NLP) used in the context of AI capabilities?

To cleanse and prepare data for AI implementations

To interpret and understand programming language

To understand and generate human language

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AI and Data Quality Quiz

What is a benefit of a diverse, balanced, and large dataset?

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

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 healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data Quality play In this AI application?

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

Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?

How is natural language processing (NLP) used in the context of AI capabilities?

What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution. Which data quality dimension Is essential for this custom application?

What should organizations do to ensure data quality for their AI initiatives?

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