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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
Answer: B
Explanation
“The main focus of the Accountability principle in Salesforce’s Trusted AI Principles is taking responsibility for one’s actions toward customers, partners, and society. Accountability means that AI systems should be designed and developed with respect for the impact and consequences of their actions on others.
Accountability also means that AI developers and users should be aware of and adhere to the ethical, legal, and regulatory standards and expectations of their industry and domain.”
Question # 2
Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity List View, Lead List View, Account List view B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard C. Opportunity Scoring, Lead Scoring, Account Insights
Answer: C
Explanation
“Opportunity Scoring, Lead Scoring, Account Insights are features of Einstein that enhance sales efficiency and effectiveness. Opportunity Scoring and Lead Scoring use predictive models to assign scores to opportunities and leads based on their likelihood to close or convert. Account Insights use natural language processing (NLP) to provide relevant news and insights about accounts based on their industry, location, or events.”
Question # 3
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
Answer: A
Explanation
“A key benefit of effective interaction between humans and AI systems is that it leads to more informed and balanced decision making. Effective interaction means that humans and AI systems can communicate and collaborate with each other in a clear, natural, and respectful way. Effective interaction can help leverage the strengths and complement the weaknesses of both humans and AI systems. Effective interaction can also help increase trust, confidence, and satisfaction in using AI systems.”
Question # 4
A business analyst (BA) wants to improve business by enhancing their sales processes and customer..Which AI application should the BA use to meet their needs?
A. Sales data cleansing and customer support data governance B. Machine learning models and chatbot predictions C. Lead scoring, opportunity forecasting, and case classification
Answer: C
Explanation
“Lead scoring, opportunity forecasting, and case classification are AI applications that can help a business analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and case classification can help categorize and route cases based on their attributes.”
Question # 5
In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?
A. Empower users to off all skill level to build AI application with clicks, not code. B. Empower users to contribute to the growing body of knowledge of leading AI research. C. Empower users to solve challenging technical problems using neural networks.
Answer: A
Explanation
“The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the empowerment and education of humans. Empowering users means enabling users to access, use, and benefit from AI systems regardless of their technical expertise or background. For example, empowering users means providing tools and platforms that allow users to build AI applications with clicks, not code, such as Einstein Prediction Builder or Einstein Discovery.”
Question # 6
How is natural language processing (NLP) used in the context of AI capabilities?
A. To cleanse and prepare data for AI implementations B. To interpret and understand programming language C. To understand and generate human language
Answer: C
Explanation
“Natural language processing (NLP) is used in the context of AI capabilities to understand and generate human language. NLP can enable AI systems to interact with humans using natural language, such as speech or text. NLP can also enable AI systems to analyze and extract information from natural language data, such as documents, emails, or social media posts.”
Question # 7
A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.Which Salesforce Trusted AI Principles is being practiced>
A. Transparency B. Inclusivity C. Accountability
Answer: B
Explanation
“Conducting a series of Consequence Scanning workshops to support testing diverse datasets is an action that practices Salesforce’s Trusted AI Principle of Inclusivity. Inclusivity is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Conducting Consequence Scanning workshops means engaging with various stakeholders to identify and assess the potential impacts and implications of AI systems on different groups or domains. Conducting Consequence Scanning workshops can help practice Inclusivity by ensuring that diverse datasets are used to test and evaluate AI systems.”
Question # 8
What is the key difference between generative and predictive AI?
A. Generative AI creates new content based on existing data and predictive AI analyzes existing data. B. Generative AI finds content similar to existing data and predictive AI analyzes existing data. C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.
Answer: A
Explanation
“The key difference between generative and predictive AI is that generative AI creates new content based on existing data and predictive AI analyzes existing data. Generative AI is a type of AI that can generate novel content such as images, text, music, or video based on existing data or inputs. Predictive AI is a type of AI that can analyze existing data or inputs and make predictions or recommendations based on patterns or trends.”
Question # 9
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
A. Testing models with diverse datasets B. Striving for model explain ability C. Working with human rights experts
Answer: A
Explanation
“An example of Salesforce’s Trusted AI Principle of Inclusivity in practice is testing models with diverse datasets. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing modelswith diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.”
Question # 10
What is a sensitive variable that car esc to bias?
A. Education level B. Country C. Gender
Answer: C
Explanation
“Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person’s identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems.”