TEST BORRADO, QUIZÁS LE INTERESE: Asociado en IA
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Asociado en IA Descripción: Asociado en IA questions! Autor:
Fecha de Creación: 05/02/2025 Categoría: Fans Número Preguntas: 138 |
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What is a benefit of a diverse, balanced, and large dataset? Training time Data privacy Model accuracy. 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. What are the three commonly used examples of Al in CRM? Predictive scoring, reporting, image classification Predictive scoring, forecasting, recommendations Einstein Bots, face recognition, recommendations. A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data quality play in this Al application? Enhanced accuracy and reliability of medical predictions and diagnoses Ensured compatibility of Al algorithms with the system's infrastructure Reduced need for healthcare expertise in interpreting AI outputs. What are some of the ethical challenges associated with Al development? Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes Implicit transparency of Al systems, which makes it easy for users to understand and trust their decisions Inherent neutrality of Al 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 Al 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 Al 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 Al 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. Cloud Kicks relies 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? The accurancy 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 Al 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 Al 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 competitor sites that personalize their experience. Cloud Kicks is testing a new Al model. Which approach aligns with Salesforce's Trusted Al 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. Cloud Kicks wants to develop a solution to predict customers' product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a picklist. Which data quality dimension is affected in this scenario? Completeness Accuracy Consistency. Cloud Kicks wants to implement Al features on its Salesforce Platform but has concerns about potential ethical and privacy challenges. What should they consider doing to minimize potential Al bias? Integrate AI models that auto-correct biased data. Implement Salesforce's Trusted Al 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. Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history. 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 Al-driven recommendations and predictions. What is a sensitive variable that can lead to bias? Education level Gender Country. A marketing manager wants to use Al 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 Al 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 Al creates new content based on existing data and predictive Al analyzes existing data. Generative AI finds content similar to existing data and predictive Al analyzes existing data. Generative Al analyzes existing data and predictive Al creates new content based on existing data. What is a key benefit of effective interaction between humans and Al 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 Al 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? Biases in data can be inadvertently learned and amplified by AI systems. AI predictions become more focused and less robust. AI models maintain accuracy but have slower response times. To avoid introducing unintended bias to an Al 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. Al infringes on privacy when user consent is not obtained. Al operates Independently of user privacy and consent. How does data quality impact the trustworthiness of Al-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 Al-driven decisions, fostering trust among users. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions. Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails. 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. What is 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. Which of the following is a common concern about Generative AI? Deep learning Natural language processing Hallucinations. Which type of AI combines algorithms and deep learning neural network techniques to generate content that is based on the patterns it observes in other content? Predictive AI Generative AI Narrow AI. Which of the following is one of the Salesforce’s Trusted AI Principles? Accuracy Accountable Sustainable. How can Customers benefit from CRM with generative AI? Get a consistent experience across all channels of engagement Get suggestions about product not to purchase Get advice on reducing license cost. Which of the following is one of the five guidelines Salesforce is using to guide the development of trusted generative AI? Accuracy Accountable Transparent. Which of the following is a milestone in Ethical AI Practice Maturity Model? Accurate & Accountable Managed & Sustainable Responsible & Inclusive. Which of the following is one of the perceived risks of real-time personalization in marketing? Automated spam emails Encouraging unhealthy habits Data being collected, shared, or used in unanticipated ways. Which of the following is a factor that can determine the quality of data used for training AI models? Data Compatibility Data Volume Duplicate Records. Which of the following is a Data Quality Dimension? Naming Convention Completeness Formatting. What is AI Hallucination? A confident response by an AI that does not seem to be justified by its training data AI systems begin to perceive and interact with fictional and fantastical entities in their virtual worlds AI systems start exhibiting behaviors reminiscent of characters from classic literature. What is the primary goal of generative AI? Classifying images Generating new data that is similar to existing data Solving mathematical equations. How can generative AI be applied in CRM systems? By automating the entire customer service department By generating random customer complaints for practice By generating personalized responses and content for customer interactions. What is the primary benefit of using generative AI in CRM for customer support? Generating more marketing emails Reducing the need for human customer support agents Increasing customer wait times. How does generative AI contribute to personalization in CRM? By sending generic responses to customer inquiries By generating random customer names in emails By creating tailored product recommendations and content for each customer. What ethical considerations should be taken into account when using generative AI in CRM? None, as AI is inherently ethical Data privacy, bias, and transparency Making all customer interactions completely automated. What is the main goal of integrating generative AI into CRM systems for sales and marketing? To confuse customers with incomprehensible responses To improve customer engagement and increase sales To replace the sales team with AI-generated sales pitches. What is the potential consequence of using low-quality or biased training data in generative AI for CRM? Improved customer satisfaction Unfair or biased customer interactions Reduced AI model complexity. In the context of generative AI in CRM, what does “data cleansing” refer to? The process of deleting all customer data for privacy reasons The practice of enhancing data quality by removing errors and inconsistencies The AI’s ability to create entirely new customer profiles. How can high-quality training data benefit generative AI in CRM? It can make the AI model less accurate It enables the AI model to provide more relevant and context-aware responses to customer inquiries It increases the likelihood of data hallucination. What is one approach to mitigating bias in generative AI CRM models? Implementing stricter data privacy policies Ensuring diverse and representative training data Reducing customer engagement to minimize potential bias. What is the primary goal of incorporating AI into Salesforce? To reduce customer engagement To enhance customer relationship management To eliminate the need for human agents. What is the key benefit of using Salesforce Einstein for predictive analytics in marketing? Reducing the need for marketing teams Improving lead conversion rates and campaign effectiveness Automatically sending emails to all leads. In Salesforce, what is the primary function of the Einstein Prediction Builder? To forecast future sales opportunities To categorize customer support tickets To design email templates. What is the purpose of Salesforce Einstein Discovery? To create advanced AI models from scratch To predict customer behavior based on historical data To automate email marketing campaigns. Which Salesforce product leverages AI to provide insights and recommendations to sales and service teams? Salesforce Analytics Salesforce Marketing Cloud Salesforce Einstein. A service leader wants to use Al 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 generative Al 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 Al has created and autonomously delivered content. What is a potential source of bias in training data for Al models? The data is collected in real time from source 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 Al Principles, what does the principle of Empowerment primarily aim to achieve? Empower users of all skill levels to build Al applications with clicks, not code. Empower users to contribute to the growing body of knowledge of leading Al 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 mess. How can data quality be assessed quickly? Build a Data Management Strategy. Run reports to explore the data quality. Leverage data quality apps from AppExchange. What should be done to prevent bias from entering an Al system when training it? Use alternative assumptions. Import diverse training data. Include proxy variables. What is a key consideration regarding data quality in AI implementations? Customizing Al features in Salesforce Training and fine-tuning Salesforce Al models Integration Al models with Salesforce workflows. Cloud Kicks wants to use Al to enhance its sales processes and customer support. Which capability should they use? Dashboard of Current Leads and Cases Sales Path and Automated Case Escalations Einstein Lead Scoring and Case Classification. Which statement exemplifies Salesforce's honesty guideline when training Al models? Minimize the Al model's carbon footprint and environmental impact during training. Ensure appropriate consent and transparency when using Al-generated responses. Control bias, toxicity, and harmful content with embedded guardrails and guidance. What is a benefit of data quality and transparency as it pertains to bias in generative AI? Chances of bias are mitigated. Chances of bias are aggravated. Chances of bias are removed. A business analyst (BA) wants to improve business by enhancing their sales processes and customer support. Which Al applications should the BA use to meet their needs? Sales data cleansing and customer support date governance Machine learning models and chatbot predictions Lead scoring, opportunity forecasting, and case classification. Cloud Kicks uses Einstein to generate predictions but is not seeing accurate results. What is a potential reason for this? Poor data quality The wrong product Too much data. A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number. Which feature should they use to accomplish this? Autofill Duplicate matching rule Validation rule. A sales manager wants to improve their processes using Al in Salesforce. Which application of AI would be most beneficial? Lead scoring and opportunity forecasting Sales dashboards and reporting Data modeling and management. How does Al within CRM help sales representatives better understand previous customer interactions? Creates, localizes, and translates product descriptions Triggers personalized service replies Provides call summaries. Cloud Kicks wants to use an Al 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? Reliability Volume Age. What is the role of Salesforce's Trusted Al Principles in the context of CRM systems? Guiding ethical and responsible use of AI Providing a framework for Al data model accuracy Outlining the technical specifications for AI Integration. What role does date quality play in the ethical use of Al applications? High-quality data is essential for ensuring unbiased and fair Al decisions, promoting ethical use, and preventing discrimination. High-quality data ensures the presence of demographic attributes required for personalized campaigns. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups. What can bias in Al algorithms in CRM lead to? Personalization and targeted marketing changes Advertising cost increases Ethical challenges in CRM systems. What is 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 Al product launch to retrain an Al 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? 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. Cloud Kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially defects incoming cases by answering frequently asked questions. Which field of AI is most suitable for this scenario? Natural language processing Computer vision Predictive analytics. What are the key components of the data quality standard? Reviewing, Updating, Archiving Naming, Formatting, Monitoring Accuracy, Completeness, Consistency. Which best describes the difference between predictive Al and generative Al? Predictive Al 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 Al and generative Al have the same capabilities but differ in the type of input they receive; predictive Al receives raw data whereas generative Al receives natural language. Predictive Al uses machine learning to classify or predict outputs from its input date whereas generative Al does not use machine learning ta generate its output. Which type of bias imposes a system's values on others? Association Automation Societal. What is the role of data quality in achieving Al business objectives? Data quality is unnecessary because Al can work with all data types. Data quality is required to create accurate Al data insights. Data quality is important for maintaining Al data storage limits. What is 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 Kicks 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 Al? Ethical Al Prediction Maturity Model Ethical Al Process Maturity Model Ethical Al Practice Maturity Model. Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethics? Geographic Demographic Cryptographic. How does a data quality assessment impact business outcomes for companies using AI? Improves the speed of Al recommendations Accelerates the delivery of new Al solutions Provides a benchmark for Al predictions. What is a key challenge of human-Al collaboration in decision-making? Leads to more informed and balanced decision-making Creates a reliance on Al, potentially leading to less critical thinking and oversight Reduces the need for human involvement in decision-making processes. A system admin recognizes the need to put a data management strategy in place. What is a key component of a data management strategy? Naming Convention Data Backup Color Coding. A salesforce consultant is considering the data sets to use for training AI models for a project on the Customer 360 platform. What should be considered when selecting the data sets for the AI models? Duplication, accuracy, consistency, storage location and usage of data sets Age, completeness, consistency, theme, duplication and usage of data sets Age, completeness, accuracy, consistency, duplication and usage of data sets. Cloud kicks wants to implement AI features within its CRM system. They have expressed concerns about the quality of their existing data. What advice should be given to them regarding the importance of data quality for AI implementations? Assessing data quality is only necessary for large datasets AI systems can handle any data inaccuracies Assessing and improving data quality is crucial for accurate AI prediction insights. A salesforce consultant is discussing AI capabilities with a customer who is interested in improving their sales processes. Which type of AI would be most suitable for enhancing sales processes in Salesforce customer 360? Predictive analysis Computer vision Natural language processing. Cloud Kicks is implementing AI in its CRM system and is focusing on data management. What is the benefit of using a data management approach in AI implementation? Eliminated the need for data governance Reduces the amount of data in the CRM system Emphasizes the importance of data quality. Which data quality dimension refers to the frequency and timeliness of data updates? Data source Data freshness Data leakage. A consultant discusses the role of humans in AI-driven CRM processes with a customer. What is one challenge the consultant should mention about human-AI collaboration in decision making? Difficulty in interpreting AI decisions High cost of AI implementation Lack of technical skills in the team. Which salesforce AI application is recommended to enhance sales processes? Einstein Prediction Builder Einstein Voice Einstein Lead Scoring. What role does data play in AI models? Data is used for training and testing AI models Data is only used for validating AI models Data is only used for testing AI models. What is a unique and distinguishing feature of deep learning in the context of AI capabilities? Deep learning uses neural networks with multiple layers to learn from a large amount of data. Deep learning uses historical data to predict future outcomes. Deep learning uses algorithms to cleanse and prepare data for AI implementations. Which AI type plays a crucial role in Salesforce's predictive text and speech recognition capabilities, enabling the platform to understand and respond to user commands accurately? Computer Vision Natural Language Processing Predictive Analytics. Cloud Kicks is planning to automate its customer service chat using natural language processing. According to Salesforce's Trusted AI principles, how should this be disclosed to the customer? They do not need to be informed they are chatting with AI. Inform the customer that they are chatting with AI when they request a live agent. Inform them at the beginning of the interaction that they are chatting with AI. A consultant designs a new AI model for a financial services company that offers personal loans. Which variable within their proposed model might introduce unintended bias? Loan Date Postal Code Payment Due Date. What are the three main types of AI capabilities in Salesforce? Predictive, Generative, Analytic. Predictive, Reactive, Analytic. Generative, Descriptive, Analytic. Which feature of Marketing Cloud Einstein uses AI to predict consumer engagement with email and MobilePush messaging? Content Selection Email Recommendations Engagement Scoring. What is a key benefit of implementing AI in a CRM system? Enhanced customer support Improved platform speed Reduced data governance. What are the potential consequences of an organization suffering from poor data quality? Low employee morale, stock devaluation, and inability to attract top talent Revenue loss, poor customer service, and reputational damage Technical debt, monolithic system architecture, and slow ETL throughput. 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? Redesign the lead conversion process Review and update missing lead information Prioritize active leads quarterly. What is a societal implication of excluding ethics in AI development? Faster and cheaper development More innovation and creativity Harm to marginalized communities. Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement? Create personalized emails Resend emails to inactive recipients Remove invalid email addresses. Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use? Discovery Bots Next Best Action. Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data. What is the most appropriate action the company should take? Adjust the Al model to account for the data inconsistencies. Increase the quantity of data being used for training the model. Investigate the data inconsistencies and apply data quality techniques. A business analyst (BA) is preparing a new use case for Al. 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? Duplication Usage Completeness. What are predictive analytics, machine learning, natural language processing (NLP), and computer vision? Different types of data models used in Salesforce Different types of automation tools used in Salesforce Different types of AI that can be applied in Salesforce. What is Salesforce's Trusted AI Principle of Transparency? The customization of AT features to meet specific business requirements The integration of AT models with Salesforce workflows The clear and understandable explanation of Al decisions and actions. 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 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 Al application to benefit a population Using data that contains more examples of minority groups than majority groups. How does AI assist in lead qualification? Scores leads based on customer data Creates personalized SMS campaigns Automatically interacts with prospects. Cloud Kicks wants to evaluate the quality of its sales data. Which first step should they take for the data quality assessment? Plan and align territories Run a new report or dashboard. Identify business objectives. What is the significance of explainability of trusted AI systems? Increases the complexity of AI models Enhances the security and accuracy of AI models Describes how Al models make decisions. What should an organization do to enforce consistency across accounts for newly entered records? Merge all duplicate accounts into a single record when duplicate entries are detected. Input the data exactly as it appears from the source, such as the company's website or social media. Implement naming conventions or a predefined list of user-selectable values for organization-wide records. 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 The accuracy of the product The diversity of the product. A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately. Which functionality provides the best solution? Call Summaries Sales Dialer Auto-Generated Sales Tasks. How does poor data quality affect predictive and generative AI models? Creates inaccurate results Increases raw data volume Decreases storage efficiency. Which AI tool is a web of connections, guided by weights and biases? Neural networks Predictive Analytics Rules- based systems. Which action introduces bias in the training data used for AI algorithms? Using a large dataset that is computationally expensive Using a dataset that represents diverse perspectives and populations Using a dataset that underrepresents perspectives and populations. Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality? Structured Complete Duplicate. Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails? Natural language processing Machine learning Deep learning. A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models? Performance Consistency Volume. |
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