Salesforce Certified AI Associate Exam Set 1 PDF

# Salesforce Certified AI Associate ## Exam Summary: - **Time Taken**: 24 minutes of 70 minutes total - **Result**: Pass - **Topic** | **Percentage Complete** - --- | --- - AI Fundamentals | 85% - AI Capabilities in CRM | 100% - Ethical Considerations of AI | 100% - Data for AI | 100% ## Exam Que...

# Salesforce Certified AI Associate ## Exam Summary: - **Time Taken**: 24 minutes of 70 minutes total - **Result**: Pass - **Topic** | **Percentage Complete** - --- | --- - AI Fundamentals | 85% - AI Capabilities in CRM | 100% - Ethical Considerations of AI | 100% - Data for AI | 100% ## Exam Questions: ### Question 40: Which AI tool is a web of connections, guided by weights and biases? - A. Neural networks - B. Predictive Analytics - C. Rules-based systems ### Question 39: How does the "right of least privilege" reduce the risk of handling sensitive personal data? - A. By applying data retention policies - B. By limiting how many people have access to data - C By reducing how many attributes are collected ### Question 38: What is a possible outcome of poor data quality? - A. AI systems inadvertently learn and amplify biases. - B. AI predictions become more focused and less robust. - C. AI models have slower response times. ### Question 37: How does an organization benefit from using AI to personalize the shopping experience of online customers? - A. Customers are more likely to be satisfied with their shopping experience. - B. Customers are more likely to share personal information with a site that personalizes their experience. - C. Customers are more likely to personalize their own shopping experience after learning from AI. ### Question 36: How does a data quality assessment impact business outcomes for companies using AI? - A. Provides a benchmark for AI predictions - B. Improves the speed of AI recommendations - C. Accelerates the delivery of new AI solutions ### Question 35: How does poor data quality affect predictive and generative AI models? - A. Creates inaccurate results - B. Increases raw data volume - C. Decreases storage efficiency ### Question 34: How does data quality impact the trustworthiness of AI-driven decisions? - A. Low-quality data increases the risk of overfitting the model, but accuracy of predictions may improve. - B. High quality data improves the reliability and credibility of AI driven decisions. - C. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions, fostering trust among users. ### Question 33: Which best describes the difference between predictive AI and generative AI? - A. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output. - B. Predictive AI 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 giver input. - C. Predictive AI and generative AI have the same capabilities but differ in the type of input they receive; predictive AI receives raw data whereas generative AI receives natural language. ### Question 32: What is an implication of user consent in regard to AI data privacy? - A. AI operates independently of user privacy and consent. - B. AI infringes on privacy when user consent is not obtained. - C. AI ensures complete data privacy by automatically obtaining user consent. ### Question 31: What should an organization do to enforce consistency across accounts for newly entered records? - A. Merge all duplicate accounts into a single record when duplicate entries are detected. - B. Input the data exactly as it appears from the source, such as the company's website or social media. - C. Implement naming conventions or a predefined list of user-selectable values for organization-wide records. ### Question 30: Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality? - A. Duplicate - B. Structured - C. Complete ### Question 29: Which action introduces bias in the training data used for AI algorithms? - A. Using a large dataset that is computationally expensive - B. Using a dataset that represents diverse perspectives and populations - C. Using a dataset that underrepresents perspectives and populations ### Question 28: To avoid introducing unintended bias to an AI model, which type of data should be omitted? - A. Transactional - B. Engagement - C. Demographic ### Question 27: What is a key benefit of effective interaction between humans and AI systems? - A. Leads to more informed and balanced decision-making - B. Alerts humans to the presence of biased data - C. Reduces the need for human involvement ### Question 26: 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 dimension of data quality is affected in this scenario? - A. Completeness - B. Accuracy - C. Consistency ### Question 25: What is a key consideration regarding data quality's role in AI implementations? - A. Customizing AI features in Salesforce - B. Training and fine-tuning Salesforce AI models - C. Integrating AI models with Salesforce workflows ### Question 24: Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data. Which data quality element should the company focus on? - A. Accuracy - B. Location - C. Volume ### Question 23: A service leader wants to use AI to help customers resolve their issues quicker in a guided self-serve application. Which Einstein functionality provides the best solution? - A. Bots - B. Case Classification - C. Recommendation ### Question 22: 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. Multi-Select Picklist - C. Text ### Question 21: Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity? - A. Rely on a team with similar backgrounds to the target users and assess the model. - B. Test only with data from a specific region or demographic to ensure data will be relevant. - C. Test with diverse and representative datasets appropriate for how the model will be used. ### Question 20: Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use? - A. Einstein Next Best Action and Case Auto Response Rules - B. Sales Path and Automated Case Escalations - C. Einstein Lead Scoring and Case Classifications ### Question 19: How does AI assist in lead qualification? - A. Scores leads based on customer data - B. Creates personalized SMS campaigns - C. Automatically interacts with prospects ### Question 18: Cloud Kicks relies on data analysis to optimize its product recommendations for customers. How will incomplete data quality impact the company's recommendations? - A. The response time for the product - B. The accuracy of the product - C. The diversity of the product ### Question 17: Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce. Which feature should be used to accomplish this? - A. Duplicate management - B. Trigger deletion of old records - C. Mass Delete List View button ### Question 16: 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? - A. Adjust the AI model to account for the data inconsistencies. - B. Increase the quantity of data being used for training the model. - C. Investigate the data inconsistencies and apply data quality techniques. ### Question 15: A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately. Which functionality provides the best solution? - A. Call Summaries - B. Sales Dialer - C. Auto-Generated Sales Tasks ### Question 14: Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly? - A. Leverage data quality apps from AppExchange. - B. Run reports to explore the data quality. - C. Build a Data Management Strategy. ### Question 13: Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethical risks? - A. Cryptographic - B. Geographic - C. Demographic ### Question 12: 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 the prediction's rationale and a model card that describes how the model was created - C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles ### Question 11: What is Salesforce's Trusted AI Principle of Transparency? - A. The customization of AI features to meet specific business requirements - B. The integration of AI models with Salesforce workflows - C. The clear and understandable explanation of AI decisions and actions ### Question 10: What should be done to prevent bias from entering an AI system when training it? - A. Import diverse training data. - B. Use alternative assumptions. - C. Include proxy variables. ### Question 9: What is a societal implication of excluding ethics in AI development? - A. Faster and cheaper development - B. More innovation and creativity - C. Harm to marginalized communities ### Question 8: What is an example of ethical debt? - A. Launching an AI feature after discovering a harmful bias - B. Violating a data privacy law and failing to pay fines - C. Delaying an AI product launch to retrain an AI data model ### Question 7: A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced? - A. Inclusivity - B. Transparency - C. Accountability ### Question 6: In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve? - A. Empower users to contribute to the growing body of knowledge of leading AI research. - B. Empower users to solve challenging technical problems using neural networks. - C. Empower users of all skill levels to build AI applications with clicks, not code. ### Question 5: Which action should be taken to develop and implement trusted generative AI with Salesforce's safety guideline in mind? - A. Create guardrails that mitigate toxicity and protect PII. - B. Provide frequent prompts to view user consent settings. - C. Develop right-sized models to reduce our carbon footprint. ### Question 4: A business analyst (BA) wants to improve business by enhancing their sales processes and customer support. Which AI applications should the BA use to meet their needs? - A. Machine learning models and chatbot predictions - B. Einstein Bots and Automated Case Escalations - C. Lead scoring, Opportunity forecasting, and case classification ### Question 3: How does AI within CRM help sales representatives better understand previous customer interactions? - A. Provides call summaries - B. Creates, localizes, and translates product descriptions - C. Triggers personalized service replies ### Question 2: Cloud Kicks wants to evaluate the quality of its sales data. Which first step should they take for the data quality assessment? - A. Plan and align territories. - B. Run a new report or dashboard. - C. Identify business objectives. ### Question 1: 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. Nickname - B. Email address - C. Financial status