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Salesforce AI Associate
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Title of test:
Salesforce AI Associate Description: Practice Exam Author: Bob Other tests from this author Creation Date: 15/01/2024 Category: Others Number of questions: 25 |
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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. 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 Salesforce's Trusted AI Principles? Accuracy Accountable Sustainable. Which of the following in 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 Duplicate Records Data Volume. Which of the following is a Data Quality Dimention? 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 inquires 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 customer with incomprehensible responses To improve customer engagement and increase sales To replace the sales team with AI-generated sales pitches. In the context of generative AI in CRM, what does "data cleaning" 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. 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. 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 inquires 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. Which Salesforce product leverages AI to provide insights and recommendations to sales and service teams? Salesforce Analytics Salesforce Marketing Cloud Salesforce Einstein. What is the purpose of Salesforce Einstein Discovery? To create advance AI models from scratch To predict customer behavior on historical data To automate email marketing campaigns. 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 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. |
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