Salesforce AI Associate Exam

Which aspects of Einstein contribute to boosting sales efficiency and effectiveness? A. Opportunity Scoring, Lead Scoring, Account Insights B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard C. Opportunity List View, Lead List View, Account List View

A. 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. Prioritizing leads and predicting sales opportunities B. Handling and organizing data effectively C. Generating sales-related dashboards and reports

A. Prioritizing leads and predicting sales opportunities

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. Accuracy B. Location C. Volume

A. Accuracy

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. At the outset of their conversation with AI B. After they have finished their interaction with AI C. When they specifically ask for a live agent

A. At the outset of their conversation with AI

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. Offer personalized recommendations C. Categorizing Cases

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

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

A. Einstein Lead Scoring and Case Classification

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

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

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

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

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

In Salesforce's Trusted AI Principles, what is the primary emphasis of the Accountability principle? A. Protecting fundamental human rights and safeguarding sensitive data B. Acknowledging responsibility for actions towards customers, partners, and society C. Ensuring clarity in AI-generated recommendations and predictions

B. Acknowledging responsibility for actions towards customers, partners, and society

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. Reliability B. Age C. Volume

B. Age

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

B. Algorithms, data, and computational resources

Cloudy Computing aims to enhance its business operations by integrating AI into its CRM system. What should the company's initial step be in preparing its data for AI utilization? A. Evaluate data results B. Assess data accessibility C. Eliminate prejudiced data

B. Assess data accessibility

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. Performance B. Consistency C. Volume

B. Consistency

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. Expand the amount of data used for training the model B. Investigate the data inconsistencies and implement data quality methods C. Modify the AI model to accommodate the data irregularities

B. Investigate the data inconsistencies and implement data quality methods

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

What advantages does AI offer for enhancing customer experiences in CRM? A. Completely automates the customer support process, guaranteeing smooth automated interactions with customers B. Simplifies case management by organizing and monitoring customer support issues, recognizing topics, and summarizing case resolutions C. Enhances security measures in CRM to protect sensitive customer data from potential breaches and security risks

B. Simplifies case management by organizing and monitoring customer support issues, recognizing topics, and summarizing case resolutions

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

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

A Cloudy Computing administrator wishes to capture a customer's preferred name on their record. Which Salesforce field type is most suitable for this purpose? A. Multi-Select Picklist B. Text C. Rich Text Area

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

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

What are a few of the ethical issues connected with the development of AI? A. The implicit transparency of AI systems, simplifying user comprehension and trust in their decisions B. The possibility of human bias in machine learning algorithms and the absence of clarity in AI decision-making procedures C. The natural impartiality of AI systems, eradicating any chance of human bias in decision-making

B. The possibility of human bias in machine learning algorithms and the absence of clarity in AI decision-making procedures

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

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

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. Validity C. Timeliness

B. Validity

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

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

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

B. 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 assign routine tasks to AI B. Humans and AI collaborate to make well-informed decisions C. Humans rely on AI for decision-making

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

Cloudy Computing is interested in adding AI capabilities to its Salesforce Platform but is worried about ethical and privacy issues. What steps should they take to reduce the risk of AI bias? A. Refrain from using demographic data to identify minority groups B. Incorporate AI models that automatically correct biased data C. Adhere to Salesforce's Trusted AI Principles

C. Adhere to Salesforce's Trusted AI Principles

According to Salesforce's Trusted AI Principle of Transparency, what customer information should be available on the Salesforce Platform when a customer using Einstein Prediction Builder is unsure about a prediction? A. An explanation of how Prediction Builder functions and a link to Salesforce's Trusted AI Principles B. A marketing article about the product that clearly presents its capabilities and features C. An explanation of the prediction's rationale and a model card detailing how the model was developed

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

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

C. Analyzing and comprehending visual information

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

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. Utilizing machine learning models and predicting chatbot behavior B. Cleaning up sales data and ensuring proper governance of customer support data C. Lead scoring, opportunity forecasting, and case classification

C. Lead scoring, opportunity forecasting, and case classification

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

C. Low data quality

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

C. Various AI applications applicable in Salesforce

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. Completeness B. Usage C. Duplication

A. Completeness

Which data quality aspect is crucial for Cloudy Computing's customer service analytics application, designed to analyze cases in Salesforce and 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. Including data features in the AI application to benefit a population C. Employing data that has a larger representation of minority groups compared to majority groups

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

What advantages does an organization gain by implementing AI to customize the online shopping experience for customers? A. Customers are more inclined to find satisfaction with their shopping experience B. Customers are more willing to provide personal information to a website that tailors their experience C. Customers are less likely to explore competitor websites that provide personalized experiences

A. Customers are more inclined to find satisfaction with their shopping experience

What kind of data should be excluded to prevent unintentional bias in an AI model? A. Demographic B. Transactional C. Engagement

A. Demographic

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

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

A. 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. Inclusiveness B. Transparency C. Accountability

A. Inclusiveness

What is the impact of subpar data quality on predictive and generative AI models? A. Leads to imprecise outcomes B. Raises the volume of raw data C. Lowers storage efficiency

A. Leads to imprecise outcomes

What is the most effective approach to protect customer data privacy? A. Monitor customer data consent preferences B. Automatically anonymize all customer data C. Store customer data periodically in archives

A. Monitor customer data consent preferences

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

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

What distinguishes machine learning in the realm of AI capabilities? A. Utilizes algorithms to gather insights from data and make choices B. Is capable of replicating human intelligence and decision-making flawlessly C. Depends on predefined rules for decision-making

A. Utilizes algorithms to gather insights from data and make choices

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

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

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 Practice Maturity Model C. Ethical AI Prediction Maturity Model

B. Ethical AI Practice Maturity Model

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

B. Evaluates leads using customer information

In Salesforce's definition, what is an example of an immutable trait, which is a potentially sensitive attribute? A. Email address B. Financial status C. Nickname

B. Financial status

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

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

In the context of a healthcare company utilizing an algorithm to analyze patient data and aid in medical diagnosis, what is the primary role of data quality? A. It guarantees the compatibility of AI algorithms with the system's infrastructure B. It improves the accuracy and reliability of medical predictions and diagnoses C. It decreases the requirement for healthcare expertise in interpreting AI outputs

B. It improves the accuracy and reliability of medical predictions and diagnoses

A marketing manager wants to use AI to enhance customer engagement. Which feature provides the best solution for this goal? A. Implementing custom AI models B. Journey Optimization C. Einstein Engagement

B. Journey Optimization

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

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

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

B. Model precision

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

B. Naming conventions

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

B. Narrow AI

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

B. Neural networks

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

B. 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. Visualization, data storage, and retrieval B. Privacy, bias, compliance, and security C. Network, software, and hardware

B. Privacy, bias, compliance, and security

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

C. 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. Highlight sensitive variables and their stand-ins to avoid biased lending practices B. Integrate customer input into the ongoing training of the model C. Clarify how risk factors like credit score may influence customer eligibility

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

Cloudy Computing is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity? A. Depend on a development team with consistent backgrounds to evaluate the model's possible societal consequences B. Restrict testing to data from a particular region or demographic to minimize the potential for data breaches C. Conduct testing using varied and inclusive datasets that align with the model's intended usage

C. Conduct testing using varied and inclusive datasets that align with the model's intended usage

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. Resend emails to inactive recipients C. Create personalized emails

C. Create personalized emails

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

C. Demographic

What action leads to bias in the training data for AI algorithms? A. Utilizing a dataset that includes a variety of perspectives and populations B. Utilizing a sizable dataset that requires significant computational resources 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 effect does a data quality evaluation have on business results for companies utilizing AI? A. Speeds up the introduction of new AI solutions B. Enhances the efficiency of AI recommendations C. Establishes a baseline for AI predictions

C. Establishes a baseline for AI predictions

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

C. Guaranteeing ethical AI usage

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

C. Guiding the ethical and responsible utilization of AI

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

C. Improved customer trust and satisfaction

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

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

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

C. Introducing an AI feature after identifying a detrimental bias

Cloudy Computing depends on data analysis to enhance its product recommendations, but it faces a recurring problem of incomplete customer records, including missing contact details and incomplete purchase histories. How will this deficiency in data quality affect the company's operations? A. It enhances the variety of product recommendations B. It delays the response time for product recommendations C. It hampers the accuracy of product recommendations

C. It hampers the accuracy of product recommendations

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

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. Predictive data insights B. Visual data analysis C. Natural language processing

C. Natural language processing

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

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

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. Redesign the lead conversion process B. Prioritize active leads quarterly C. Review and update missing lead information

C. Review and update missing lead information

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

C. Safeguards privacy and compliance