無料提供されるSalesforce-AI-Associate問題集とSalesforce-AI-Associateリアル試験問題
Salesforce Salesforce-AI-Associate実際の問題とブレーン問題集
質問 # 41
What should organizations do to ensure data quality for their AI initiatives?
- A. Prioritize model fine-tuning over data quality improvements.
- B. Rely on AI algorithms to automatically handle data quality issues.
- C. Collect and curate high-quality data from reliable sources.
正解：C
解説：
Explanation
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."
質問 # 42
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 # 43
How is natural language processing (NLP) used in the context of AI capabilities?
- A. To understand and generate human language
- B. To cleanse and prepare data for AI implementations
- C. To interpret and understand programming language
正解：A
解説：
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."
質問 # 44
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic...
- A. Geographic
- B. Cryptographic
- C. Geographic
正解：C
解説：
Explanation
"Demographic data is the data that Salesforce automatically excludes from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns. Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems. Salesforce excludes demographic data from Marketing Cloud Einstein engagement model training to mitigate bias and ethical concerns by ensuring that the models are based on behavioral data rather than personal data."
質問 # 45
What are the three commonly used examples of AI in CRM?
- A. Predictive scoring, forecasting, recommendations
- B. Einstein Bots, face recognition, recommendations
- C. Predictive scoring, reporting, Image classification
正解：A
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 # 46
Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.
Which data quality dimension Is essential for this custom application?
- A. Duplication
- B. Age
- C. Consistency
正解：C
解説：
Explanation
"Consistency is the data quality dimension that is essential for creating a custom service analytics application to analyze cases in Salesforce. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Consistent data can ensure that the custom application can accurately and efficiently analyze cases and provide meaningful insights."
質問 # 47
What is a key challenge of human AI collaboration in decision-making?
- A. Reduce the need for human involvement in decision-making processes
- B. Leads to move informed and balanced decision-making
- C. Creates a reliance on AI, potentially leading to less critical thinking and oversight
正解：C
解説：
Explanation
"A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight. Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task. Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems.
However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight. For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale."
質問 # 48
How does data quality impact the trustworthiness of Al-driven decisions?
- A. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
- B. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
- C. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
正解：A
解説：
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."
質問 # 49
Which statement exemplifies Salesforces honesty guideline when training AI models?
- A. Control bias, toxicity, and harmful content with embedded guardrails and guidance.
- B. Ensure appropriate consent and transparency when using AI-generated responses.
- C. Minimize the AI models carbon footprint and environment impact during training.
正解：B
解説：
Explanation
"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 and preferences 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
What is the best method to safeguard customer data privacy?
- A. Archive customer data on a recurring schedule.
- B. Track customer data consent preferences.
- C. Automatically anonymize all customer data.
正解：B
解説：
Explanation
"Tracking customer data consent preferences is the best method to safeguard customer data privacy. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Tracking customer data consent preferences means respecting and honoring the choices and preferences of customers regarding their personal data. Tracking customer data consent preferences can help ensure compliance with data privacy laws and regulations, as well as build trust and loyalty with customers."
質問 # 51
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?
- A. Size of the dataset
- B. Number of variables ipn the dataset
- C. Age of the dataset
正解：A
解説：
Explanation
"The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect the feasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data."
質問 # 52
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 # 53
Salesforce defines bias as using a person's Immutable traits to classify them or market to them.
Which potentially sensitive attribute is an example of an immutable trait?
- A. Email address
- B. Nickname
- C. Financial status
正解：C
解説：
Explanation
"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 email address are not immutable traits because they can be changed by choice or preference."
質問 # 54
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?
- A. Chances of bias are aggravated
- B. Chances of bias are remove
- C. Chances of bIas and mitigated
正解：C
解説：
Explanation
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the data used or generated by the generative AI model."
質問 # 55
What is the most likely impact that high-quality data will have on customer relationships?
- A. Improved customer trust and satisfaction
- B. Higher customer acquisition costs
- C. Increased brand loyalty
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 # 56
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?
- A. Determine data availability.
- B. Remove biased data.
- C. Determine data outcomes.
正解：A
解説：
Explanation
Before using AI to optimize business operations, the company should first assess the availability and quality of its data. Data is the fuel for AI, and without sufficient and relevant data, AI cannot produce accurate and reliable results. Therefore, the company should identify what data it has, where it is stored, how it is accessed, and how it is maintained. This will help the company understand the feasibility and scope of its AI projects.
質問 # 57
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. Number
- C. Picklist
正解：C
解説：
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."
質問 # 58
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