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質問 # 36
What is a societal implication of excluding ethics in AI development?
- A. Harm to marginalized communities
- B. Faster and cheaper development
- C. More innovation and creativity
正解：A
解説：
Excluding ethics in AI development can lead to societal implications such as harm to marginalized communities. When ethical considerations are not integrated into AI development, the resulting technologies may perpetuate or amplify biases, leading to unfair treatment or discrimination against certain groups. This can reinforce existing social inequalities and prevent these communities from benefiting equally from the advancements in AI technology. Salesforce is committed to responsible AI development and emphasizes the importance of ethical considerations in their development practices to prevent such outcomes. Details on Salesforce's approach to ethical AI and its importance can be found at Salesforce Ethical AI.
質問 # 37
In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?
- A. Empower users to contribute to the growing body of knowledge of leading AIresearch.
- B. Empower users to off all skill level to build AI application with clicks, not code.
- C. Empower users to solve challenging technical problems using neural networks.
正解：B
解説：
"The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment isone 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."
質問 # 38
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?
- A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
- B. An explanation of the prediction's rationale and a model card that describes how the model was created
- C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
正解：B
質問 # 39
What is machine learning?
- A. A data model used in Salesforce
- B. AI that creates new content
- C. AI that can grow its intelligence
正解：A
解説：
"A data model is a machine learning feature used in Salesforce. A data model is a representation or abstraction of a real-world phenomenon or process using data structures and algorithms. A data model can be used to describe, analyze, or predict various aspects of the phenomenon or process using machine learning techniques."
質問 # 40
What are the three commonly used examples of AI in CRM?
- A. Einstein Bots, face recognition, recommendations
- B. Predictive scoring, forecasting, recommendations
- C. Predictive scoring, reporting, Image classification
正解：B
解説：
Explanation
"Predictive scoring, forecasting, and recommendations are three commonly used examples of AI in CRM.
Predictive scoring can help prioritize leads, opportunities, and customers based on their likelihood to convert, churn, or buy. Forecasting can help predict future sales, revenue, or demand based on historical data and trends. Recommendations can help suggest the best products, services, or actions for each customer based on their preferences, behavior, and needs."
質問 # 41
What is a key benefit of effective interaction between humans and AI systems?
- A. Alerts humans to the presence of biased data
- B. Reduces the need for human involvement
- C. Leads to more informed and balanced decision making
正解：C
解説：
"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."
質問 # 42
What is a possible outcome of poor data quality?
- A. AI predictions become more focused and less robust.
- B. AI models maintain accuracy but have slower response times.
- C. Biases in data can be inadvertently learned and amplified by AI systems.
正解：C
解説：
"A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems."
質問 # 43
What is the most likely impact that high-quality data will have on customer relationships?
- A. Improved customer trust and satisfaction
- B. Increased brand loyalty
- C. Higher customer acquisition costs
正解：A
解説：
Explanation
"The most likely impact that high-quality data will have on customer relationships is improved customer trust and satisfaction. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can improve customer relationships by enabling AI systems to provide personalized and relevant products, services, or solutions that meet the customers' expectations, needs, and interests. High-quality data can also improve customer trust and satisfaction by reducing errors, delays, or waste in customer interactions."
質問 # 44
A system admin recognizes the need to put a data management strategy in place.
What is a key component of data management strategy?
- A. Color Coding
- B. Naming Convention
- C. Data Backup
正解：C
解説：
Explanation
Data Backup is a key component of a data management strategy. A data backup is a process of creating and storing copies of data in a separate location or device to prevent data loss or damagein case of a disaster, accident, or malicious attack. A data backup can help ensure data availability, reliability, and security by allowing data to be restored or recovered in the event of a data breach, corruption, or deletion. A data management strategy should include a data backup plan that defines the frequency, scope, method, and location of data backups, as well as the roles and responsibilities of the data backup team.
質問 # 45
Why is it critical to consider privacy concerns when dealing with AI and CRM data?
- A. Increases the volume of data collected
- B. Confirms the data is accessible to all users
- C. Ensures compliance with laws and regulations
正解：C
解説：
Explanation
"It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that define and enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AI and CRM data can be handled."
質問 # 46
A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.
Which primary role does data Quality play In this AI application?
- A. Ensured compatibility of AI algorithms with the system's Infrastructure
- B. Enhanced accuracy and reliability of medical predictions and diagnoses
- C. Reduced need for healthcare expertise in interpreting AI outouts
正解：B
解説：
"Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the dataused for AI applications in healthcare is accurate, complete, consistent, and relevant."
質問 # 47
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?
- A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
- B. An explanation of the prediction's rationale and a model card that describes how the model was created
- C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
正解：B
解説：
"An explanation of the prediction's rationale and a model card that describes how the model was created should be accessible on the Salesforce Platform following Salesforce's Trusted AI Principle of Transparency.
Transparency means that AI systems should be designed and developed with respect for clarity and openness in how they work and why they make certain decisions. Transparency also means that AI users should be able to access relevant information and documentation about the AI systems they interact with."
質問 # 48
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. Ongoing auditing and monitoring of data that is used in AI applications
- C. Excluding data features from the Al application to benefit a population
正解：B
解説：
A technique to mitigate bias and ensure fairness in AI applications is ongoing auditing and monitoring of the data used in AI applications. Regular audits help identify and address any biases that may exist in the data, ensuring that AI models function fairly and without prejudice. Monitoring involves continuously checking the performance of AI systems to safeguard against discriminatory outcomes. Salesforce emphasizes the importance of ethical AI practices, including transparency and fairness, which can be further explored through Salesforce's AI ethics guidelines at Salesforce AI Ethics.
質問 # 49
Which statement exemplifies Salesforces honesty guideline when training AI models?
- A. Ensure appropriate consent and transparency when using AI-generated responses.
- B. Control bias, toxicity, and harmful content withembedded guardrails and guidance.
- C. Minimize the AI models carbon footprint and environment impact during training.
正解：A
解説：
"Ensuring appropriate consent and transparency when using AI-generated responses is a statement that exemplifies Salesforce's honesty guideline when training AI models. Salesforce's honesty guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for honesty and integrity in how they work and what they produce. Ensuring appropriate consent and transparency means respecting and honoring the choices andpreferences of users regarding how their data is used or generated by AI systems. Ensuring appropriate consent and transparency also means providing clear and accurate information and documentation about the AI systems and their outputs."
質問 # 50
A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?
- A. Journey Optimization
- B. Bring Your Own Model
- C. Einstein Engagement
正解：C
解説：
Explanation
"Einstein Engagement provides the best solution for a marketing manager who wants to use AI to better engage their customers. Einstein Engagement is a feature that uses AI to optimize email marketing campaigns by providing insights and recommendations on the best time, frequency, content, and subject lines to send emails to each customer. Einstein Engagement can help increase customer engagement, retention, and loyalty by delivering personalized and relevant messages."
質問 # 51
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