Salesforce Certified AI Associate Exam Questions PDF

Okay, here's the conversion of the text in the images to a structured markdown format. ### Salesforce Certified AI Associate **Time Remaining:** **1 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 Au...

Okay, here's the conversion of the text in the images to a structured markdown format. ### Salesforce Certified AI Associate **Time Remaining:** **1 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 Next Best Action and Case Auto Response Rules * C. Einstein Lead Scoring and Case Classification **2 of 40.** 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? * A. Prioritize active leads quarterly. * B. Redesign the lead conversion process. * C. Review and update missing lead information. **3 of 40.** What are predictive analytics, machine learning, natural language processing (NLP), and computer vision? * A. Different types of data models used in Salesforce * B. Different types of automation tools used in Salesforce * C. Different Types of Al that can be applied in Salesforce **4 of 40.** What are the potential consequences of an organization suffering from poor data quality? * A. Low employee morale, stock devaluation, and inability to attract top talent * B. Revenue loss, poor customer service, and reputational damage * C. Technical debt, monolithic system architecture, and slow ETL, throughput **5 of 40.** What is one technique to mitigate bias and ensure fairness in AI applications? * A. Using data that contains more examples of minority groups than majority groups * B. Excluding data features from the AI application to benefit a population * C. Ongoing auditing and monitoring of data that is used in AI applications **6 of 40.** Cloud Kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequently asked questions. Which field of AI is most suitable for this scenario? * A. Computer vision * B. Natural language processing * C. Predictive analytics **7 of 40.** What should organizations do to ensure data quality for their AI initiatives? * A. Develop AI algorithms to automatically handle data quality issues. * B. Prioritize model fine-tuning over data quality improvements. * C. Collect and curate high-quality data from reliable sources. **8 of 40.** What is a benefit of a diverse, balanced, and large dataset? * A. Model complexity * B. Model trainability * C. Model accuracy **9 of 40.** 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? * A. Performance * B. Consistency * C. Volume **10 of 40.** A sales manager wants to improve their processes using AI in Salesforce. Which application of AI would be most beneficial? * A. Data modeling and management * B. Sales dashboards and reporting * C. Lead scoring and opportunity forecasting **11 of 40.** What is a benefit of data quality and transparency as it pertains to bias in generative AI? * A. Chances of bias are aggravated. * B. Chances of bias are removed. * C. Chances of bias are mitigated. **12 of 40.** What does the term "data completeness" refer to in the context of data quality? * A. The degree to which all required data points are present in the dataset * B. The ability to access data from multiple sources in real time * C. The process of aggregating multiple datasets from various databases **13 of 40.** Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue? * A. Accuracy * B. Consistency * C. Usage **14 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 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 given 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. **15 of 40.** A business analyst (BA) is preparing a new use case for AI. 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? * A. Duplication * B. Usage * C. Completeness **16 of 40.** What is a sensitive variable that can lead to bias? * A. Gender * B. Country * C. Education level **17 of 40.** Which statement exemplifies Salesforce's honesty guideline when training AI models? * A. Choose smaller better-trained models instead of larger more sparsely trained models. * B. Ensure appropriate consent and transparency when using Al-generated responses. * C. Minimize the Al model's carbon footprint and environmental impact during training. **18 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. Leverage data quality apps from AppExchange. * B. Build a Data Management Strategy. * C. Run reports to explore the data quality. **19 of 40.** 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. Picklist * B. Address * C. Text **20 of 40.** What is a potential outcome of using poor-quality data in AI applications? * A. Al models may produce biased or erroneous results. * B. Al models are less accurate but easier to train. * C. Al model training becomes slower and less efficient. **21 of 40.** Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use? * A. Discovery * B. Next Best Action * C. Bots **22 of 40.** Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement? * A. Resend emails to inactive recipients * B. Remove invalid email addresses * C. Create personalized emails **23 of 40.** How is natural language processing (NLP) used in the context of AI capabilities? * A. To interpret and understand programming * B. To understand and generate human language * C. To cleanse and prepare data for AI implementations **24 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 Al recommendations * C. Accelerates the delivery of new Al solutions **25 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. Email address * B. Nickname * C. Financial Status **26 of 40.** 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 Al decision-making processes * B. Inherent neutrality of Al systems, which eliminates any potential for human bias in decision-making * C. Implicit transparency of Al systems, which makes it easy for users to understand and trust their decisions **27 of 40.** Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails? * A. Deep learning * B. Natural language processing * C. Machine learning **28 of 40.** What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice? * A. Testing models with diverse datasets * B. Working with human rights experts * C. Striving for model explain ability **29 of 40.** What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice? * A. Testing models with diverse datasets * B. Working with human rights experts * C. Striving for model explainability **30 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 **31 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. Transparency * B. Accountability * C. Inclusivity **32 of 40.** In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on? * A. Providing a framework for data model accuracy * B. Ensuring ethical use of Al * C. Outlining the technical specifications for Al integration **33 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. Al operates independently of user privacy and consent. * C. Al infringes on privacy when user consent is not obtained. **34 of 40.** What is the best method to safeguard customer data privacy? * A. Track customer data consent preferences. * B. Protect customer data with encrypted access. * C. Archive customer data on a recurring schedule. **35 of 40.** What is the significance of explainability of trusted AI systems? * A. Enhances the security and accuracy of Al models * B. Increases the complexity of Al models * C. Describes how Al models make decisions **36 of 40.** 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. Determine data outcomes. * B. Determine data biases. * C. Determine data availability. **37 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 Al research. **38 of 40.** What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles? * A. Safeguarding fundamental human rights and protecting sensitive data * B. Taking responsibility for one's actions toward customers, partners, and society * C. Ensuring transparency in Al-driven recommendations and predictions **39 of 40.** What is a potential source of bias in training data for AI models? * A. The data is collected from a diverse range of sources and demographics. * B. The data is collected in real time from source systems. * C. The data is skewed toward a particular demographic or source. **40 of 40.** What is a key challenge of human-AI collaboration in decision-making? * A. Leads to more informed and balanced decision-making * B. Reduces the need for human involvement in decision-making processes * C. Creates a reliance on Al, potentially leading to less critical thinking and oversight **41 of 40.** What are the three commonly used examples of AI in CRM? * A. Einstein Bots, face recognition, recommendations * B. Predictive scoring, reporting, Einstein Bots * C. Predictive scoring, forecasting, recommendations ###### **Results:** Pass | Topic | Percentage Correct | | ---------------------------- | ------------------ | | AI Fundamentals | 100% | | AI Capabilities in CRM | 100% | | Ethical Considerations of AI | 93% | | Data for AI | 100% | **Congratulations!** You have successfully completed the certification exam to become a Salesforce Certified AI Associate. Welcome to the Salesforce worldwide community of Certified Professionals!