合格させるSalesforce-AI-Associateテスト問題集で[2025年11月14日]に更新された107問あります
Salesforce Salesforce-AI-Associate実際の問題と100%カバー率でリアル試験問題
Salesforce Salesforce-AI-Associate 認定試験の出題範囲：
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質問 # 37
What is a key benefit of effective interaction between humans and AI systems?
- A. Leads to more informed and balanced decision making
- B. Reduces the need for human involvement
- C. Alerts humans to the presence of biased data
正解：A
解説：
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."
質問 # 38
Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions Which field of AI is most suitable for this scenario?
- A. Predictive analytics
- B. Natural language processing
- C. Computer vision
正解：B
解説：
Explanation
"Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context."
質問 # 39
What is a potential source of bias in training data for AI models?
- A. The data is collected in area time from sources systems.
- B. The data is collected from a diverse range of sources and demographics.
- C. The data is skewed toward is particular demographic or source.
正解：C
解説：
Explanation
"A potential source of bias in training data for AI models is that the data is skewed toward a particular demographic or source. Skewed data means that the data is not balanced or representative of the target population or domain. Skewed data can introduce or exacerbate bias in AI models, as they may overfit or underfit the model to a specific subset of data. For example, skewed data can lead to bias if the data is collected from a limited or biased demographic or source, such as a certain age group, gender, race, location, or platform."
質問 # 40
What is a possible outcome of poor data quality?
- A. AI predictions become more focused and less robust.
- B. Biases in data can be inadvertently learned and amplified by AI systems.
- C. AI models maintain accuracy but have slower response times.
正解：B
解説：
Explanation
"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 # 41
Cloud Kicks wants to use AI to enhance its sales processes and customer support.
Which capacity should they use?
- A. Dashboard of Current Leads and Cases
- B. Sales path and Automaton Case Escalations
- C. Einstein Lead Scoring and Case Classification
正解：C
解説：
"Einstein Lead Scoring and Case Classification are the capabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI to optimize sales and service processes by providing insights and recommendations based on data.
Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."
質問 # 42
Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?
- A. Be transparent when AI has created and automatically delivered content.
- B. Develop right-sized models to reduce our carbon footprint.
- C. Create guardrails that mitigates toxicity and protect PII
正解：C
解説：
"Creating guardrails that mitigate toxicity and protect PII is an action that should be taken to develop and implement trusted generativeAI with Salesforce's safety guideline in mind. Salesforce's safety guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the safety and well-being of humans and the environment. Creatingguardrails means implementing measures or mechanisms that can prevent or limit the potential harm or risk caused by AI systems. For example, creating guardrails can help mitigate toxicity by filtering out inappropriate or offensive content generated by AIsystems. Creating guardrails can also help protect PII by masking or anonymizing personal or sensitive information generated by AI systems."
質問 # 43
What is Salesforce's Trusted AI Principle of Transparency?
- A. The integration of AT models with Salesforce workflows
- B. The clear and understandable explanation of Al decisions and actions
- C. The customization of AT features to meet specific business requirements
正解：B
解説：
Salesforce's Trusted AI Principle of Transparency emphasizes the importance of providing clear and understandable explanations of AI decisions and actions. This principle ensures that users can understand how AI conclusions are drawn, which is crucial for trust and accountability, especially in business applications where AI decisions can have significant impacts. Transparency helps mitigate the "black box" nature of AI systems by making them more interpretable and allows for better oversight, compliance, and alignment with ethical guidelines. Salesforce elaborates on these principles in their ethical AI practices, which can be further explored at Salesforce Ethical AI.
質問 # 44
Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.
Which dimension of data quality is affected in this scenario?
- A. Accuracy
- B. Completeness
- C. Consistency
正解：C
解説：
Explanation
"Consistency is the dimension of data quality that is affected in this scenario. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources.
Inconsistent data can cause confusion, errors, or duplication in data analysis andprocessing. For example, using different field types for the same attribute can affect the consistency of the data."
質問 # 45
What is an example of ethical debt?
- A. Launching an AI feature after discovering a harmful bias
- B. Violating a data privacy law and falling to pay fines
- C. Delaying an AI product launch to retrain an AI data model
正解：A
解説：
"Launching an AI feature after discovering a harmful bias is an example of ethical debt. Ethical debt is a term that describes the potential harm or risk caused by unethical or irresponsible decisions or actions related to AIsystems. Ethical debt can accumulate over time and have negative consequences for users, customers, partners, or society. For example, launching an AI feature after discovering a harmful bias can create ethical debt by exposing users to unfair or inaccurate results that may affect their trust, satisfaction, or well-being."
質問 # 46
Which type of bias results from data being labeled according to stereotypes?
- A. Societal
- B. Association
- C. Interaction
正解：A
解説：
Explanation
"Societal bias results from data being labeled according to stereotypes. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. For example, societal bias can occur when data is labeled based on gender, race, ethnicity, or religion stereotypes."
質問 # 47
Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?
- A. Societal
- B. Confirmation
- C. Survivorship
正解：B
解説：
"Confirmation bias is most likely to be encountered in this scenario. Confirmation bias is a type of bias that occurs when data or information confirms or supports one'sexisting beliefs or expectations. For example, confirmation bias can occur when a product recommendation feature only recommends shoes of a given color based on the customer's purchase history, without considering other factors or preferences that may influence their choice."
質問 # 48
What is a key benefit of effective interaction between humans and AI systems?
- A. Leads to more informed and balanced decision making
- B. Reduces the need for human involvement
- C. Alerts humans to the presence of biased data
正解：A
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 # 49
A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?
- A. Lead soring and opportunity forecasting
- B. Data modeling and management
- C. Sales dashboards and reporting
正解：A
解説：
Explanation
"Lead scoring and opportunity forecasting are applications of AI that would be most beneficial for a sales manager who wants to improve their processes using AI in Salesforce. Lead scoring can help prioritize leads based on their likelihood to convert, while opportunity forecasting can help predict future sales or revenue based on historical data and trends. These applications of AI can help optimize sales processes by providing insights and recommendations that can increase sales efficiency and effectiveness."
質問 # 50
A service leader wants use AI to help customer resolve their issues quicker in a guided self-serve application.
Which Einstein functionality provides the best solution?
- A. Recommendation
- B. Bots
- C. Case Classification
正解：B
解説：
Explanation
"Bots provide the best solution for a service leader who wants to use AI to help customers resolve their issues quicker in a guided self-serve application. Bots are a feature that uses natural language processing (NLP) and natural language understanding (NLU) to create conversational interfaces that can interact with customers using text or voice. Bots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the customer's intent and context."
質問 # 51
Salesforce defines bias as using aperson's Immutable traits to classify them or market to them.
Which potentially sensitive attribute is an example of an immutable trait?
- A. Nickname
- B. Financial status
- C. Email address
正解：B
解説：
"Financial status is an example of an immutable trait. Immutable traits are characteristics that are inherent, fixed, or unchangeable. For example, financial status is an immutable trait because it is determined by factors beyond one's control, such as birth, inheritance, or economic conditions. Nickname and emailaddress are not immutable traits because they can be changed by choice or preference."
質問 # 52
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：
"EinsteinEngagement 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 # 53
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