Question # 1
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 |
B. Taking responsibility for one's actions toward customers, partners, and society
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
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. |
A. Empower users to off all skill level to build AI application with clicks, not code.
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 # 3
What are some key benefits of AI in improving customer experiences in CRM? | A. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats | B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions | C. Fully automates the customer service experience, ensuring seamless automated interactions with customers |
B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
Explanation: “Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customer experiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions.”
Question # 4
How does data quality impact the trustworthiness of Al-driven decisions? | A. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions. | B. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users. | C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions. |
B. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
Explanation: “High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AI systems.”
Question # 5
What is an example of ethical debt? | A. Violating a data privacy law and failing to pay fines | B. Delaying an AI product launch to retrain an AI data model | C. Launching an AI feature after discovering a harmful bias |
C. Launching an AI feature after discovering a harmful bias
Question # 6
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. Text | B. Picklist | C. Number |
B. Picklist
Explanation: “A picklist field type should be used to ensure data quality for capturing an order’s destination country. A picklist field type allows the user to select one or more predefined values from a list. A picklist field type can ensure data quality by enforcing consistency, accuracy, and completeness of the data values.”
Question # 7
Which Einstein capability uses emails to create content for Knowledge articles? | A. Generate | B. Discover | C. Predict |
A. Generate
Explanation: “Einstein Generate uses emails to create content for Knowledge articles. Einstein Generate is a natural language generation (NLG) feature that can automatically write summaries, descriptions, or recommendations based on data or text inputs. For example, Einstein Generate can analyze email conversations between agents and customers and generate draft articles for the Knowledge base.”
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FAQs of Salesforce-AI-Associate Exam
What is covered under Einstein AI Basics in the Salesforce-AI-Associate exam?
It includes fundamental concepts of Salesforce Einstein AI, like predictive analytics and machine learning principles.
Can you explain Data Preparation for Salesforce AI?
Data Preparation involves cleaning and organizing data to make it suitable for processing by Salesforce AI models.
How is Einstein Discovery used in Salesforce?
Einstein Discovery is used for data analysis, uncovering patterns, and making predictive recommendations based on data.
What is the role of Einstein Prediction Builder in Salesforce?
It enables creating custom predictive models that help in making informed business decisions based on data.
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Einstein Language processes natural language for sentiment analysis
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The exam typically consists of multiple-choice questions, covering theoretical and practical aspects of Salesforce AI.
Are there prerequisites for the Salesforce-AI-Associate exam?
There are no formal prerequisites, but a basic understanding of Salesforce and AI concepts is recommended.
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