Salesforce Certified AI Associate Exam PDF

Summary

This document contains practice questions from the Salesforce Certified AI Associate exam. The exam covers topics such as AI fundamentals, ethical considerations, data quality, and various AI capabilities used within Salesforce. Reviewing these questions can help you prepare for the certification exam.

Full Transcript

Okay, here is the conversion of the text in the images to a structured markdown format. # Salesforce Certified AI Associate Exam 1 of 40. What should be done to prevent bias from entering an AI system when training it? A. Include proxy variables. B. Use alternative assumptions. C. Import diverse...

Okay, here is the conversion of the text in the images to a structured markdown format. # Salesforce Certified AI Associate Exam 1 of 40. What should be done to prevent bias from entering an AI system when training it? A. Include proxy variables. B. Use alternative assumptions. C. Import diverse training data. 2 of 40. 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. Increase the quantity of data being used for training the model. B. Adjust the AI model to account for the data inconsistencies. C. Investigate the data inconsistencies and apply data quality techniques. 3 of 40. How does poor data quality affect predictive and generative AI models? A. Creates inaccurate results B. Decreases storage efficiency C. Increases raw data volume 4 of 40. 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. Consistency B. Completeness C. Accuracy 5 of 40. Cloud Kicks wants to evaluate the quality of its sales data. Which first step should they take for the data quality assessment? A. Run a new report or dashboard. B. Plan and align territories. C. Identify business objectives. 6 of 40. To avoid introducing unintended bias to an AI model, which type of data should be omitted? A. Demographic B. Engagement C. Transactional 7 of 40. 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. Implement naming conventions or a predefined list of user-selectable values for organization-wide records. C. Input the data exactly as it appears from the source, such as the company's website or social media. 8 of 40. In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve? A. Empower users to solve challenging technical problems using neural networks. B. Empower users of all skill levels to build AI applications with clicks, not code. C. Empower users to contribute to the growing body of knowledge of leading AI research. 9 of 40. What is Salesforce's Trusted AI Principle of Transparency? A. The customization of AI features to meet specific business requirements B. The clear and understandable explanation of AI decisions and actions C. The integration of AI models with Salesforce workflows 10 of 40. 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 11 of 40. How does AI within CRM help sales representatives better understand previous customer interactions? A. Provides call summaries B. Triggers personalized service replies C. Creates, localizes, and translates product descriptions 12 of 40. 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 Al does not use machine learning to generate its output. B. 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. C. 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 given input. 13 of 40. Which AI tool is a web of connections, guided by weights and biases? A. Predictive Analytics B. Rules-based systems C. Neural networks 14 of 40. Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use? A. Sales Path and Automated Case Escalations B. Einstein Lead Scoring and Case Classification C. Einstein Next Best Action and Case Auto Response Rules 15 of 40. 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. 16 of 40. 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 17 of 40. 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. Run reports to explore the data quality. B. Leverage data quality apps from AppExchange. C. Build a Data Management Strategy. 18 of 40. A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced? A. Accountability B. Inclusivity C. Transparency 19 of 40. 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. 20 of 40. What is an implication of user consent in regard to AI data privacy? A. Al ensures complete data privacy by automatically obtaining user consent. B. AI infringes on privacy when user consent is not obtained. C. AI operates independently of user privacy and consent. 21 of 40. How does a data quality assessment impact business outcomes for companies using AI? A. Provides a benchmark for Al predictions B. Improves the speed of AI recommendations C. Accelerates the delivery of new Al solutions 22 of 40. How does an organization benefit from using AI to personalize the shopping experience of online customers? A. Customers are more likely to personalize their own shopping experience after learning from AI. B. Customers are more likely to share personal information with a site that personalizes their experience. C. Customers are more likely to be satisfied with their shopping experience. 23 of 40. 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. Einstein Bots and Automated Case Escalations B. Lead scoring, Opportunity forecasting, and case classification C. Machine learning models and chatbot predictions 24 of 40. Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethical risks? A. Demographic B. Geographic C. Cryptographic 25 of 40. 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 accuracy of the product B. The diversity of the product C. The response time for the product 26 of 40. 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. Volume C. Location 27 of 40. 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. Mass Delete List View button B. Duplicate management C. Trigger deletion of old records 28 of 40. 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. Text B. Multi-Select Picklist C. Rich Text Area 29 of 40. 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. Email address C. Nickname 30 of 40. What is a key benefit of effective interaction between humans and AI systems? A. Alerts humans to the presence of biased data B. Leads to more informed and balanced decision-making C. Reduces the need for human involvement 31 of 40. 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 32 of 40. 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. 33 of 40. How does AI assist in lead qualification? A. Scores leads based on customer data B. Automatically interacts with prospects C. Creates personalized SMS campaigns 34 of 40. What is a key consideration regarding data quality's role in AI implementations? A. Customizing Al features in Salesforce B. Integrating AI models with Salesforce workflows C. Training and fine-tuning Salesforce Al models 35 of 40. Which action introduces bias in the training data used for AI algorithms? A. Using a dataset that underrepresents perspectives and populations B. Using a dataset that represents diverse perspectives and populations C. Using a large dataset that is computationally expensive 36 of 40. 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. Auto-Generated Sales Tasks B. Sales Dialer C. Call Summaries 37 of 40. 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 38 of 40. What is an example of ethical debt? A. Launching an Al 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 Al data model 39 of 40. What is a possible outcome of poor data quality? A. Al systems inadvertently learn and amplify biases. B. Al predictions become more focused and less robust. C. Al models have slower response times. 40 of 40. What is a societal implication of excluding ethics in AI development? A. More innovation and creativity B. Harm to marginalized communities C. Faster and cheaper development ## Assessment Summary: | | | |====================================|========| | Number of Items Answered: | 40 | | Number of Items Unanswered: | 0 | | Number of Items Marked for Review: | 0 | ## Answers: | Question | Answer | Question | Answer | Question | Answer | Question | Answer | |----------|--------|----------|--------|----------|--------|----------|--------| | 1 | C | 2 | C | 3 | A | 4 | A | | 5 | B | 6 | A | 7 | C | 8 | B | | 9 | A | 10 | A | 11 | A | 12 | C | | 13 | A | 14 | B | 15 | C | 16 | A | | 17 | B | 18 | B | 19 | B | 20 | B | | 21 | A | 22 | C | 23 | B | 24 | A | | 25 | A | 26 | A | 27 | B | 28 | A | | 29 | A | 30 | B | 31 | B | 32 | A | | 33 | B | 34 | C | 35 | B | 36 | C | | 37 | C | 38 | A | 39 | A | 40 | A | ## Exam Result: * **Time Taken:** 11 minutes of 70 minutes total * **Result:** PASS ### Topic Scores: | Topic | Percentage Correct | |-------------------------------|--------------------| | AI Fundamentals | 85% | | AI Capabilities in CRM | 66% | | Ethical Considerations of AI | 80% | | Data for AI | 86% |