Salesforce Associate AI Certification Exam - Q & A (Complete Solutions)

Salesforce Associate AI Certification Exam - Q & A (Complete Solutions) What can distort our understanding of artificial intelligence? A. Solar flares B. An unclear definition of artificial C. Fictional representations of AI D. A narrow view of what constitutes intelligence E. C and D Which broad category would an AI system fit into if it's used to determine the optimal price of an airline ticket? A. Numeric prediction B. Classification C. Robotic navigation D. Language processing What limits programmers from handcrafting algorithms to perform tasks we associate with human intelligence? A. Not enough memory in modern computers B. Laws that prevent the creation of AI C. The sheer number of rules to account for, many of which are unknown D. Too little coffee, too little time True or false: A database of business names, zip codes, and market value would be an example of structured data? A. True B. False For AI training to be considered deep learning, what does its neural network need more of? A. Nodes B. Weights C. Layers D. Inputs True or false: The values of weights and biases in a trained neural network usually have an obvious connection to the inputs. A. True B. False When AI makes a prediction to a yes-or-no question, the prediction generally comes in what form? A. A value of either True or False B. A value of either 1 or 0 C. A percent value between 0 and 100 D. A value of either Success or Fail While not technically a component of AI, which part of an AI solution is key to making use of AI data and insights? A. Numeric predictions B. Classifications C. Recommendations D. Workflow and rules A marketing team is trying to improve their messaging strategy. Which outcome would be the best to try predicting? A. How often mailed catalogs will be immediately trashed B. How likely a marketing email will be opened by an age group C. How amusing readers will find their tweets D. How likely it will snow during their Chicago networking event Finish this one truism of AI: "If you can't report on it,..." A. "you haven't tried hard enough." B. "just report on something else." C. "it probably doesn't matter." D. "you can't predict it." What is one thing that Einstein Engagement Frequency is designed to help avoid? A. Sending emails that take too long to read B. Annoying customers with too many emails C. Sending emails to the wrong address D. Waiting too long between lead creation and lead follow-up Which AI tool is especially helpful to customers who like to help themselves with support issues? A. Classification of incoming support emails B. Chatbots C. Personalized ecommerce sites D. Product recommendations What is it called when AI interprets everyday language? A. Slang translation B. Text-to-task C. Intention prediction D. Natural language processing If you ask a generative AI what its favorite color is, and it responds "blue," this is an example of what? A. Sentience B. Opinion C. Prediction D. Randomness New AI model architecture and availability of extensive training data are two factors in the rapid improvement of generative AI. What's the third? A. Increased parallel computing power B. AI optimizing AI code C. Larger data storage capacity of servers D. Faster satellite data connections True or false: Developers must create their own large language models in order to add natural language processing to their applications. A. True B. False What is natural language? A. The root of all languages. B. The ways humans communicate. C. How computers speak to each other. D. The language of plants. In what ways have neural networks impacted NLP? A. NLP has become faster. B. NLP has become more contextually accurate. C. NLP is no longer important. D. A and B E. A and C Which NLP technique uses the part of speech to more accurately find the root of a word? A. Segmentation B. Tokenization C. Stemming D. Lemmatization What is the term for finding the underlying structure of text in NLP? A. Parts of speech B. Parsing C. Morphology D. Sentiment Which component of AutoML sifts through your structured data and fixes it up before you start? A.Natural Language Processing B.Feature Engineering C.Computer Vision D.Data Cleansing E.Automated Model Selection Which of the following is a way Einstein benefits Salesforce users? A.Discovers insights B.Predicts outcomes C.Recommends the best actions D.Automates routine tasks E.All of the above Marketing Cloud Einstein helps marketers reduce handle time by collecting and qualifying customer info for seamless agent handoff. A.True B.False How can sales teams benefit from Einstein? A.Increase revenue by showing customers the best product to buy, at the right time B.Reduce handle time by collecting and qualifying customer info for seamless agent handoff C.Create personalized, 1:1 messages and content based on consumer preferences and intent D.Boost win rates by prioritizing leads and opportunities most likely to convert E.Increase call deflection by resolving routine customer requests How does the Einstein Platform help admins and developers? A.By allowing them to store data in the cloud B.By allowing them to set up accounts with permissions C.By helping them schedule appointments for their teams D.By helping them build a smart assistant customized to their business E.By helping agents route and resolve cases faster so they can increase customer satisfaction Which of the following is not an Einstein Platform product? A.Einstein Bots B.Einstein Next Best Action C.Einstein Answers D.Einstein Lead Scoring E.Einstein Prediction Builder What's one definition of bias? A.Decision made free of self-interest, prejudice, or favoritism B.Judgement based on preconceived notions or prejudices rather than the impartial evaluation of facts C.The state of being diverse and having variety D.Impartial treatment without discrimination Why are diverse teams important? A.They enable you to create more inclusive products that meet the needs of all your users, not just some of them. B.Only a few individuals are responsible for promoting ethics. C.They help you identify preconceived notions or assumptions that can be harmful for some users. D.A and C E.B and C Which of the following is a result of association bias? A.Men being labeled as doctors and women being labelled as nurses in a dataset B.An image of an orange cat being predicted to be a coyote because all the coyotes in the dataset were orange and none of the cats were orange C.A person being denied a loan because the system inaccurately predicted they would be unable to repay it D.A company hiring only candidates from a particular university because it currently has successful employees from that university How can bias enter a system?