WorksheetsVichy AI AssQuiz 3
Total questions: 77
Worksheet time: 39mins
What is a benefit of a diverse, balanced, and large dataset?
Training time
Data privacy
Model accuracy
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
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.
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 outputs
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
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
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
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
Testing models with diverse datasets
Striving for model explainability
Working with human rights experts
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?
Consistency
Duplication
Age
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 Einstein capability uses emails to create content for Knowledge articles?
Generate
Discover
Predict
Which type of bias results from data being labeled according to stereotypes?
Association
Societal
Interaction
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?
Financial status
Nickname
Email address
Which potentially sensitive attribute is an example of an immutable trait?
Financial status
Nickname
Email address
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?
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
How does an organization benefit from using AI to personalize the shopping experience of online customers?
Customers are more likely to share personal information with a site that personalizes their experience.
Customers are more likely to be satisfied with their shopping experience.
Customers are more likely to visit competitors' sites that personalize their experience.
Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?
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.
Which data quality dimension is affected in this scenario?
Completeness
Accuracy
Consistency
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.
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
Which type of bias is most likely to be encountered in this scenario?
Confirmation
Survivorship
Societal
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 AI-driven recommendations and predictions
What is a sensitive variable that can lead to bias?
Education level
Country
Gender
A marketing manager wants to use AI to better engage their customers. Which functionality provides the best solution?
Journey Optimization
Bring Your Own Model
Einstein Engagement
A Salesforce administrator creates a new field to capture an order's destination country. Which field type should they use to ensure data quality?
Text
Picklist
Number
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 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?
Automatically anonymize all customer data.
Track customer data consent preferences.
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?
Duplicate management
Trigger deletion of old records
Standardized field names
An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured. Which Salesforce field type should the administrator use to accomplish this?
Multi-Select Picklist
Text
Rich Text Area
What is a possible outcome of poor data quality?
AI models maintain accuracy but have slower response times.
Biases in data can be inadvertently learned and amplified by AI systems.
AI predictions become more focused and less robust.
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
Transactional
Engagement
Demographic
What is an implication of user consent in regard to AI data privacy?
AI ensures complete data privacy by automatically obtaining user consent.
AI infringes on privacy when user consent is not obtained.
AI operates independently of user privacy and consent.
How does data quality impact the trustworthiness of AI-driven decisions?
The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users.
Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
Which data quality dimension should be assessed to reduce these communication inefficiencies?
Duplication
Usage
Consent
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
Size of the dataset
Age of the dataset
What is machine learning?
AI that can grow its intelligence
AI that creates new content
A data model used in Salesforce
A service leader wants to use AI to help customers resolve their issues quicker in a guided self-serve application. Which Einstein functionality provides the best solution?
Case Classification
Bots
Recommendation
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?
Develop right-sized models to reduce our carbon footprint.
Create guardrails that mitigate toxicity and protect PII
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 collected in a real-time from sources systems.
The data is skewed toward a particular demographic or source.
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… Howcandata quality be assessed quality?
Build a Data Management Strategy.
Build reports to expire the data quality.
Leverage data quality apps from AppExchange
Whatshould be done to prevent bias from entering an AI system when training it?
Use alternative assumptions
Import diverse training data
Include Proxy variables
Whatis 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
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
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 with embedded guardrails and guidance
WhatIs a benefit of data quality and transparency as it pertains to bias in generated AI?
Chances of bIas and mitigated
Chances of bias are aggravated
Chances of bias are remove
A business analyst (BA) wants to improve business by enhancing their sales processes and customer.. Which AI application should the BA use to meet their needs?
Sales data cleansing and customer support data governance
Machine learning models and chatbot predictions
Lead scoring, opportunity forecasting, and case classification
Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results? Whatto apotential mason for this?
Poor data quality
The wrong product
Too much data
A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address … Which feature should they use to accomplish this?
Autofill
Duplicate matching rule
Validation rule
Cloud kicks wants to develop a solution to predict customers’ interest based on historical dat a. 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?
Accuracy
Consistency
Completeness
Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics. Whatis an essential data quality dimension to achieve this goal?
Reliability
Volume
Age
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
HowdoesAI which CRMhelpsales representatives better understand previous customer interactions?
Creates, localizes, and translates product descriptions
Triggers personalized service replies
Provides call summaries
Whatis the most likely impact that high-quality data will have on customer relationships?
Increased brand loyalty
Higher customer acquisition costs
Improved customer trust and satisfaction
Whatis 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
Whatrole 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
Whatcan bias in AI algorithms in CRM lead to?
Personalization and target marketing changes
Advertising cost increases
Ethical challenges in CRM systems
Whatis an example of ethical debt?
Violating a data privacy law and falling to pay fines
Launching an AI feature after discovering a harmful bias
Delaying an AI product launch to retrain an AI data model
A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets. Which Salesforce Trusted AI Principles is being practiced>
Transparency
Inclusivity
Accountability
A financial institution plans a campaign for preapproved credit cards? Howshould 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.
Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions Which field of AI is most suitable for this scenario?
Natural language processing
Computer vision
Predictive analytics
Whatare the key components of the data quality standard?
Naming, formatting, Monitoring
Accuracy, Completeness, Consistency
Reviewing, Updating, Archiving
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 they receive: 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
Which type of bias imposes a system ‘s values on others?
Societal
Automation
Association
Whatis the rile of data quality in achieving AI business Objectives?
Data quality is unnecessary because AI can work with all data types.
Data quality is required to create accurate AI data insights.
Data quality is important for maintain Ai data storage limits
Whatis 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
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?
Ethical AI Prediction Maturity Model
Ethical AI Process Maturity Model
Ethical AI practice Maturity Model
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic…
Geographic
Geographic
Cryptographic
Howdoesadataquality assessment impact business outcome for companies using AI?
Improves the speed of AI recommendations
Accelerates the delivery of new AI solutions
Provides a benchmark for AI predictions
Whatis 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
A system admin recognizes the need to put a data management strategy in place. Whatis a key component of data management strategy?
Naming Convention
Data Backup
Color Coding
