AI Cert

Cloudy Computing intends to employ an AI model for forecasting shoe demand based on historical sales data and regional attributes. Which data quality dimension is crucial for achieving this objective? A. Age B. Volume C. Reliability

A. Age

In the realm of AI capabilities, what is the primary function of computer vision? A. Analyzing and comprehending visual information B. Improving images through image processing techniques C. Forecasting future results using data

A. Analyzing and comprehending visual information

A service leader plans to use AI to help customers resolve their queries more quickly with a guided self-service app. Which Einstein feature offers the most suitable solution for this? A. Automated Chatbots B. Categorizing Cases C. Offer personalized recommendations

A. Automated Chatbots

What is the term for bias that imposes the values of a system onto others? A. Automation B. Societal C. Association

A. Automation

Why is the explainability of trusted AI systems important? A. Clarifies how AI models reach decisions B. Adds complexity to AI models C. Boosts the security and precision of AI models

A. Clarifies how AI models reach decisions

In what way should a financial institution adhere to Salesforce's Trusted AI Principle of Transparency when executing a campaign for preapproved credit cards? A. Clarify how risk factors like credit score may influence customer eligibility B. Highlight sensitive variables and their stand-ins to avoid biased lending practices C. Integrate customer input into the ongoing training of the model

A. Clarify how risk factors like credit score may influence customer eligibility

What should organizations do to ensure data quality for their AI initiatives? A. Collect and curate high-quality data from reliable sources. B. Prioritize model fine-tuning over data quality improvements C. Rely on AI algorithms to automatically handle data quality issues.

A. Collect and curate high-quality data from reliable sources.

What should organizations do to ensure data quality for their AI initiatives? A. Collect and curate high-quality data from reliable sources. B. Rely on AI algorithms to automatically handle data quality issues. C. Prioritize model fine-tuning over data quality improvements.

A. Collect and curate high-quality data from reliable sources.

What is one way to achieve transparency in AI? A. Communicate AI goals and objectives with those involved prior to all interactions. B. Establish an ethical and unbiased culture amongst those involved. C. Allow users to give feedback regarding the inferences the AI makes about them.

A. Communicate AI goals and objectives with those involved prior to all interactions.

A developer possesses a significant volume of data, yet it is dispersed across various systems and lacks standardization. Which fundamental data quality aspect should they prioritize to guarantee the efficiency of their AI models? A. Consistency B. Volume C. Performance

A. Consistency

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

A. Consistency

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? A. Consistency B. Duplication C. Age

A. Consistency

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? A. Consistency B. Age C. Duplication

A. Consistency

What is a method for reducing bias and promoting fairness in AI applications? A. Continuously auditing and monitoring the data used in AI applications B. Employing data that has a larger representation of minority groups compared to majority groups C. Including data features in the AI application to benefit a population

A. Continuously auditing and monitoring the data used in AI applications

What role does data quality play in accomplishing AI business goals? A. Data quality is essential for generating precise AI data insights B. Data quality is not needed because AI can handle all types of data C. Data quality is crucial for adhering to AI data storage constraints

A. Data quality is essential for generating precise AI data insights

What data does Salesforce automatically remove from Marketing Cloud Einstein engagement model training to reduce bias and ethical risks? A. Demographic B. Geographic C. Cryptographic

A. Demographic

What effect does a data quality evaluation have on business results for companies utilizing AI? A. Establishes a baseline for AI predictions B. Speeds up the introduction of new AI solutions C. Enhances the efficiency of AI recommendations

A. Establishes a baseline for AI predictions

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? A. Financial status B. Nickname C. Email address

A. Financial status

Which Einstein capability uses emails to create content for Knowledge articles? A. Generate B. Discover C. Predict

A. Generate

What kind of AI employs machine learning to generate fresh and unique output based on a provided input? A. Generative B. Predictive C. Probabilistic

A. Generative

How does data quality influence the ethical use of AI applications? A. Good data quality is crucial to guarantee impartial and equitable AI decisions, uphold ethical standards, and prevent discrimination B. Having high-quality data ensures that the necessary demographic attributes are available for creating personalized campaigns C. Poor-quality data lowers the likelihood of unintentional bias since it doesn't overly cater to specific demographic groups

A. Good data quality is crucial to guarantee impartial and equitable AI decisions, uphold ethical standards, and prevent discrimination

Why is it vital to address privacy issues when handling AI and CRM data? A. Guarantees adherence to laws and regulations B. Does not impact the quantity of data collected C. Validates data accessibility for all users

A. Guarantees adherence to laws and regulations

How does data quality affect the reliability of AI-driven decisions? A. High-quality data enhances the dependability and credibility of AI-driven decisions, building trust among users B. Low-quality data decreases the likelihood of model overfitting, enhancing the reliability of predictions C. A combination of low-quality and high-quality data can enhance the accuracy and dependability of AI-driven decisions

A. High-quality data enhances the dependability and credibility of AI-driven decisions, building trust among users

Can you provide an instance of successful cooperation between humans and AI systems? A. Humans and AI collaborate to make well-informed decisions B. Humans assign routine tasks to AI C. Humans rely on AI for decision-making

A. Humans and AI collaborate to make well-informed decisions

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? A. Implement Salesforce's Trusted AI Principles. B. Integrate AI models that auto-correct biased data. C. Use demographic data to identify minority groups.

A. Implement Salesforce's Trusted AI Principles.

What is the expected outcome of high-quality data on customer relationships? A. Improved customer trust and satisfaction B. Increased brand loyalty C. Increased expenses for acquiring customers

A. Improved customer trust and satisfaction

What are some significant advantages of AI in enhancing customer experiences within CRM? A. Improves case handling by organizing and monitoring customer support issues, recognizing subjects, and summarizing case solutions B. Enhances security measures in CRM to protect sensitive customer information from potential breaches and security risks C. Completely automates the customer support journey, ensuring smooth, automated interactions with customers

A. Improves case handling by organizing and monitoring customer support issues, recognizing subjects, and summarizing case solutions

A business analyst (BA) is looking to boost their company's performance by making improvements in their sales procedures and customer service. What AI tools could the BA employ to address these requirements? A. Lead Scoring, Opportunity forecasting, and Case Classification B. Cleaning up sales data and ensuring proper governance of customer support data C. Utilizing machine learning models and predicting chatbot behavior

A. Lead Scoring, Opportunity forecasting, and Case Classification

What can happen if an organization experiences low data quality? A. Loss of revenue, diminished customer service, and damage to reputation B. Decreased employee satisfaction, reduced stock value, and difficulty in attracting top talent C. Technical challenges, inflexible system architecture, and slow data processing

A. Loss of revenue, diminished customer service, and damage to reputation

Cloudy Computing employs Einstein for generating predictions but is experiencing inaccuracies. What could be a possible explanation for this? A. Low data quality B. Excessive data volume C. Incorrect product choice

A. Low data quality

What is a benefit of a diverse, balanced, and large dataset? A. Model accuracy B. Training time C. Data privacy

A. Model accuracy

A system administrator acknowledges the necessity of establishing a data management strategy. What is a fundamental element of a data management strategy? A. Naming conventions B. Data backup C. Color coding

A. Naming conventions

What AI method involves a network of connections that are influenced by weights and biases? A. Neural networks B. Rule-based systems C. Predictive analytics

A. Neural networks

What are some of the ethical challenges associated with AI development? A. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes B. Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

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

What are three frequently employed examples of AI in CRM? A. Predictive scoring, forecasting, recommendations B. Predictive scoring, reporting, image classification C. Einstein Bots, face recognition, recommendations

A. Predictive scoring, forecasting, recommendations

During a conversation with a customer considering AI implementation in Salesforce, what should be the consultant's top priority when discussing the ethical aspects of data management? A. Privacy, bias, compliance, and security B. Visualization, data storage, and retrieval C. Network, software, and hardware

A. Privacy, bias, compliance, and security

What is the significance of data protection measures in AI usage? A. Safeguards privacy and compliance B. Expands the range of data collected C. Enhances the quality of data

A. Safeguards privacy and compliance

What are some key benefits of AI in improving customer experiences in CRM? A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions B. Fully automates the customer service experience, ensuring seamless automated interactions with customers C. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

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

What is the main focus of the Accountability principle In Salesforce's Trusted AI Principles? A. Taking responsibility for one's actions toward customers, partners, and society B. Ensuring transparency in AI-driven recommendations and predictions C. Safeguarding fundamental human rights and protecting sensitive data

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

Cloudy Computing is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity? A. Test with diverse and representative datasets appropriate for how the model will be used. B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model. C. Test only with data from a specific region or demographic to limit the risk of data leaks.

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

Cloudy Computing depends on data analysis to optimize its product recommendations; 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? A. The accuracy of product recommendations is hindered. B. The diversity of product recommendations is improved. C. The response time for product recommendations is stalled.

A. The accuracy of product recommendations is hindered.

What does "data completeness" mean when discussing data quality? A. The extent to which all necessary data points exist within the dataset B. The act of combining multiple datasets from different databases C. The capacity to retrieve data from various sources in real-time

A. The extent to which all necessary data points exist within the dataset

Cloudy Computing aims to enhance the predictive accuracy of its AI model by leveraging a substantial volume of data. What data quality aspect should the company prioritize? A. Location B. Accuracy C. Volume

B. Accuracy

Cloudy Computing latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement? A. Remove invalid email addresses B. Create personalized emails C. Resend emails to inactive recipients

B. Create personalized emails

How does an organization benefit from using AI to personalize the shopping experience of online customers? A. Customers are more likely to share personal information with a site that personalizes their experience. B. Customers are more likely to be satisfied with their shopping experience. C. Customers are more likely to visit competitor sites that personalize their experience.

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

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM system. What should the company do first to prepare its data for use with AI? A. Remove biased data B. Determine data availability C. Determine data outcomes

B. Determine data availability

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. Remove biased data. B. Determine data availability. C. Determine data outcomes.

B. Determine data availability.

Within Salesforce's Trusted AI Principles, what is the primary goal of the Empowerment principle? A. Enable users to address complex technical challenges using neural networks B. Enable users of varying skill levels to create AI applications through user-friendly interfaces, without needing to write code C. Enable users to actively participate in the expanding field of AI research and knowledge

B. Enable users of varying skill levels to create AI applications through user-friendly interfaces, without needing to write code

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? A. Reduced need for healthcare expertise in interpreting AI outputs B. Enhanced accuracy and reliability of medical predictions and diagnoses C. Ensured compatibility of AI algorithms with the system's infrastructure

B. Enhanced accuracy and reliability of medical predictions and diagnoses

What is the key difference between generative and predictive AI? A. Generative AI finds content similar to existing data and predictive AI analyzes existing data. B. Generative AI creates new content based on existing data and predictive AI analyzes existing data. C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.

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

Which statement best reflects Salesforce's commitment to honesty in training AI models? A. Manage bias, toxicity, and harmful content by implementing integrated guardrails and guidance B. Guarantee proper consent and transparency when employing AI-generated responses C. Reduce the AI model's environmental impact and carbon footprint during training

B. Guarantee proper consent and transparency when employing AI-generated responses

What is the involvement of humans in AI-powered CRM procedures? A. Humans are excluded from AI-driven CRM processes B. Humans have a crucial role in supervising AI-powered CRM processes, adding context, and making ultimate decisions C. Humans are solely involved in configuring AI-driven CRM processes but are not part of the ongoing operation

B. Humans have a crucial role in supervising AI-powered CRM processes, adding context, and making ultimate decisions

Which Salesforce Trusted AI Principle highlights the significance of designing AI models to reduce bias for everyone potentially affected? A. Transparency B. Inclusiveness C. Accountability

B. Inclusiveness

What constitutes an instance of ethical debt? A. Breaching data privacy regulations and neglecting fine payments B. Introducing an AI feature after identifying a detrimental bias C. Postponing the release of an AI product to retrain a data model

B. Introducing an AI feature after identifying a detrimental bias

Cloudy Computing is getting a dataset ready for an AI model but notices certain irregularities in the data. What should the company do as the most suitable course of action? A. Modify the AI model to accommodate the data irregularities B. Investigate the data inconsistencies and implement data quality methods C. Expand the amount of data used for training the model

B. Investigate the data inconsistencies and implement data quality methods

A marketing manager wants to use AI to better engage with their customers. Which functionality provides the best solution? A. Bring Your Own Model B. Journey Optimization C. Einstein Engagement

B. Journey Optimization

Which type of AI focuses on very specific tasks? A. General AI B. Narrow AI C. Super AI

B. Narrow AI

A Salesforce administrator creates a new field to capture an order's destination country. Which field type should they use to ensure data quality? A. Number B. Picklist C. Text

B. Picklist

What are some of the ethical challenges associated with AI development? A. Implicit transparency of AI systems, which makes it easy for users to understand and trust their decisions B. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

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

Why is the use of good data crucial for effective AI development? A. Diminishes the necessity for post-launch implementation monitoring B. Results in more precise and dependable predictions and outcomes C. Guarantees a shorter model training duration

B. Results in more precise and dependable predictions and outcomes

A sales manager aims to improve the quality of lead data in their CRM system. What is the most likely process to assist the team in achieving this objective? A. Prioritize active leads quarterly B. Review and update missing lead information C. Redesign the lead conversion process

B. Review and update missing lead information

Which type of bias results from data being labeled according to stereotypes? A. Association B. Societal C. Interaction

B. Societal

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? A. Rich Text Area B. Text C. Multi-Select Picklist

B. Text

A company utilizes Einstein and maintains a high data quality score, yet they are not experiencing the advantages of AI. What might be a potential explanation for not realizing the benefits of AI? A. The company isn't employing a sufficient amount of data for predictive purposes. B. The data score might exceed the minimum threshold, but the company isn't using it as a reference for future outcomes. C. The company isn't utilizing the appropriate Salesforce product.

B. The data score might exceed the minimum threshold, but the company isn't using it as a reference for future outcomes.

What is a fundamental aspect to think about when it comes to data quality in AI implementations? A. The process of integrating AI models with Salesforce workflows B. The role of data in training and refining Salesforce AI models C. Methods for tailoring AI features in Salesforce

B. The role of data in training and refining Salesforce AI models

What is the best method to safeguard customer data privacy? A. Archive customer data on a recurring schedule. B. Track customer data consent preferences. C. Automatically anonymize all customer data.

B. Track customer data consent preferences.

What could be a potential result of inadequate data quality? A. Reduced diversity and resilience in AI predictions B. Unintentional reinforcement of biases in AI systems due to flawed data C. AI models retaining accuracy but experiencing delayed response times

B. Unintentional reinforcement of biases in AI systems due to flawed data

What do predictive analytics, machine learning, natural language processing (NLP), and computer vision refer to? A. Different data models employed in Salesforce B. Various AI applications applicable in Salesforce C. Diverse automation tools used in Salesforce

B. Various AI applications applicable in Salesforce

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? A. Size of dataset B. Number of variables in the dataset C. Age of dataset

C. Age of dataset

What constitutes the foundational components of AI systems? A. Algorithms, software, and hardware elements B. Algorithms, data, and hardware infrastructure C. Algorithms, data, and computational resources

C. Algorithms, data, and computational resources

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. A marketing article of the product that clearly outlines the product's capabilities and features B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles C. An explanation of the prediction's rationale and a model card that describes how the model was developed

C. An explanation of the prediction's rationale and a model card that describes how the model was developed

What type of bias results from data being labeled according to stereotypes? A. Interaction B. Societal C. Association

C. Association

When should the use of natural language processing (NLP) for automated customer service be disclosed to the customer, following Salesforce's Trusted AI Principles? A. After they have finished their interaction with AI B. When they specifically ask for a live agent C. At the outset of their conversation with AI

C. At the outset of their conversation with AI

What is the possible outcome of poor data quality? A. AI predictions become more focused and less robust. B. AI models maintain accuracy but have slower response times C. Biases in data can be inadvertently learned and amplified by AI systems.

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

How does the "right of least privilege" reduce the risk of handling sensitive personal data? A. By reducing how many attributes are collected B. By applying data retention policies C. By limiting how many people have access to data

C. By limiting how many people have access to data

A Business Analyst (BA) is in the process of creating a new AI use case. As part of their preparations, they generate a report to examine whether there are any null values in the attributes they intend to utilize. What data quality aspect is the BA confirming by assessing null values? A. Usage B. Duplication C. Completeness

C. Completeness

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

C. Consistency

To avoid introducing unintended bias to an AI model, which type of data should be omitted? A. Transactional B. Engagement C. Demographic

C. Demographic

Cloudy Computing wants to use AI to enhance its sales processes and customer support. Which capability should they use? A. Dashboard of Current Leads and Cases B. Sales Path and Automated Case Escalations C. Einstein Lead Scoring and Case Classification

C. Einstein Lead Scoring and Case Classification

What action leads to bias in the training data for AI algorithms? A. Utilizing a sizable dataset that requires significant computational resources B. Utilizing a dataset that includes a variety of perspectives and populations C. Employing a dataset that lacks representation from various perspectives and populations

C. Employing a dataset that lacks representation from various perspectives and populations

What represents a significant obstacle in human-AI cooperation in decision-making? A. Facilitates more knowledgeable and impartial decision-making B. Diminishes the necessity for human participation in decision-making procedures C. Encourages dependence on AI, possibly reducing critical thinking and supervision

C. Encourages dependence on AI, possibly reducing critical thinking and supervision

What step should be followed to build and apply reliable generative AI while considering Salesforce's safety guidelines? A. Construct appropriately sized models to minimize environmental impact B. Maintain transparency when AI generates and independently delivers content C. Establish safeguards to mitigate harmful content and safeguard Personally Identifiable Information (PII)

C. Establish safeguards to mitigate harmful content and safeguard Personally Identifiable Information (PII)

The technical team at Cloudy Computing is evaluating the efficiency of their AI development procedures. Which well-established Salesforce model should guide the creation of reliable AI solutions? A. Ethical AI Process Maturity Model B. Ethical AI Prediction Maturity Model C. Ethical AI Practice Maturity Model

C. Ethical AI Practice Maturity Model

In what way does AI aid in the process of lead qualification? A. Generates customized SMS marketing campaigns B. Engages with potential customers automatically C. Evaluates leads using customer information

C. Evaluates leads using customer information

What is a sensitive variable that can lead to bias? A. Country B. Education level C. Gender

C. Gender

Regarding Salesforce's Trusted AI Principles, what is the main emphasis of the Responsibility principle? A. Defining the technical requirements for AI integration B. Establishing a structure for data model accuracy C. Guaranteeing ethical AI usage

C. Guaranteeing ethical AI usage

What purpose do Salesforce's Trusted AI Principles serve within CRM systems? A. Defining the technical requirements for AI integration B. Establishing a structure for AI data model precision C. Guiding the ethical and responsible utilization of AI

C. Guiding the ethical and responsible utilization of AI

How does data quality and transparency impact bias in generative AI? A. It eliminates the likelihood of bias B. It increases the likelihood of bias C. It reduces the likelihood of bias

C. It reduces the likelihood of bias

What is a benefit of a diverse, balanced, and large dataset? A. Training time B. Data privacy C. Model accuracy

C. Model accuracy

What advantage does a diverse, well-rounded, and extensive dataset offer? A. Training duration B. Data security C. Model precision

C. Model precision

Cloudy Computing aims to reduce the workload of its customer care agents by deploying a chatbot on its website to handle common queries. Which area of AI is best suited for this situation? A. Visual data analysis B. Predictive data insights C. Natural language processing

C. Natural language processing

Which features of Einstein enhance sales efficiency and effectiveness? A. Opportunity Scoring, Opportunity List View, Opportunity Dashboard B. Opportunity List View, Lead List View, Account List View C. Opportunity Scoring, Lead Scoring, Account Insights

C. Opportunity Scoring, Lead Scoring, Account Insights

A sales manager wants to improve Salesforce operations with AI. What AI application would offer the greatest benefits? A. Handling and organizing data effectively B. Generating sales-related dashboards and reports C. Prioritizing leads and predicting sales opportunities

C. Prioritizing leads and predicting sales opportunities

What does Salesforce's Trusted AI Principle of Transparency entail? A. Tailoring AI features to align with particular business needs B. Incorporating AI models into Salesforce workflows C. Providing a clear and comprehensible explanation of AI decisions and actions

C. Providing a clear and comprehensible explanation of AI decisions and actions

How can Cloudy Computing enhance its AI practices while adhering to Salesforce's Trusted AI Principles? A. Conducting internal surveys among the company's employees B. Embracing AI practices in line with industry trends and competition C. Soliciting independent feedback from external ethics experts, customers, and advisory boards

C. Soliciting independent feedback from external ethics experts, customers, and advisory boards

What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice? A. Working with human rights experts B. Striving for model explainability C. Testing models with diverse datasets

C. Testing models with diverse datasets

What could be an origin of bias in the training data used for AI models? A. The data is gathered directly from source systems in real-time B. The data is gathered from a wide variety of sources and people C. The data primarily comes from a specific demographic or source

C. The data primarily comes from a specific demographic or source

How is natural language processing (NLP) used in the context of AI capabilities? A. To cleanse and prepare data for AI implementations B. To interpret and understand programming language C. To understand and generate human language

C. To understand and generate human language

What is a key characteristic of machine learning in the context of AI capabilities? A. Can perfectly mimic human intelligence and decision-making B. Relies on preprogrammed rules to make decisions C. Utilizes algorithms to learn from data and make decisions

C. Utilizes algorithms to learn from data and make decisions

Cloudy Computing conducts a data quality evaluation and identifies several contact records with future dates of birth. In this situation, which data quality aspect should be employed to assess the date of birth? A. Consistency B. Timeliness C. Validity

C. Validity