Salesforce-AI-Associate問題一発合格させる問題集はAI Associate認定で！
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Salesforce Salesforce-AI-Associate 認定試験の出題範囲：
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質問 # 51
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
正解：C
解説：
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."
質問 # 52
Which action introduces bias in the training data used for AI algorithms?
- A. Using a large dataset that is computationally expensive
- B. Using a dataset that represents diverse perspectives and populations
- C. Using a dataset that underrepresents perspectives and populations
正解：C
解説：
Introducing bias in training data for AI algorithms occurs when the dataset used underrepresents certain perspectives and populations. This type of bias can skew AI predictions, making the system less fair and accurate. For example, if a dataset predominantly contains information from one demographic group, the AI's performance may not generalize well to other groups, leading to biased or unfair outcomes. Salesforce discusses the impact of biased training data and ways to mitigate this in their AI ethics guidelines, which can be explored further in the Salesforce AI documentation on Responsible Creation of AI.
質問 # 53
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. Remove biased data.
- B. Determine data availability.
- C. Determine data outcomes.
正解：B
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 # 54
What is a key characteristic of machine learning in the context of AI capabilities?
- A. Relies on preprogrammed rules to make decisions
- B. Can perfectly mimic human intelligence anddecision-making
- C. Uses algorithms to learn from data and make decisions
正解：C
解説：
"Machine learning is a key characteristic of AI capabilities that uses algorithms to learn from data and make decisions. Machine learning is a branch of AI that enables computers to learn from data without being explicitly programmed. Machine learning algorithms can analyze data, identify patterns, and make predictions or recommendations based on the data."
質問 # 55
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
- A. Taking responsibility for one's actions toward customers, partners, and society
- B. Ensuring transparency In Al-driven recommendations and predictions
- C. Safeguarding fundamental human rights and protecting sensitive data
正解：A
解説：
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."
質問 # 56
Cloud Kicks plans to use automated chat as its primary support channel.
Which Einstein feature should they use?
- A. Next Best Action
- B. Bots
- C. Discovery
正解：B
解説：
For Cloud Kicks, using automated chat as the primary support channel, the recommended Einstein feature is Bots. Einstein Bots are designed to automate customer interactions on common issues through chat and messaging platforms. They can handle routine requests, provide quick answers to frequently asked questions, and escalate more complex issues to human agents. Using Einstein Bots helps improve customer service efficiency and speed, leading to enhanced customer satisfaction. To learn more about setting up and optimizing Einstein Bots for a business, you can visit the Salesforce documentation on Einstein Bots at Salesforce Einstein Bots.
質問 # 57
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 # 58
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
- A. Testing models with diverse datasets
- B. Working with human rights experts
- C. Striving for model explain ability
正解：A
解説：
"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 models with diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."
質問 # 59
Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.
What is the most appropriate action the company should take?
- A. Adjust the Al model to account for the data inconsistencies.
- B. Increase the quantity of data being used for training the model
- C. Investigate the data inconsistencies and apply data quality techniques.
正解：C
解説：
When inconsistencies in data are identified, the most appropriate action is to investigate these inconsistencies and apply data quality techniques. Adjusting the AI model to accommodate poor quality data or simply increasing the quantity of data without addressing the underlying issues does not solve the problem and can lead to less reliable AI outputs. Proper data cleaning, normalization, and validation are necessary steps to ensure that the data fed into an AI model is accurate and reliable, thus enhancing the model's performance.
Salesforce provides guidelines on how to manage and improve data quality, including practical steps for addressing data inconsistencies, detailed at Improving Data Quality in Salesforce.
質問 # 60
Which best describes the difference between predictive AI and generative Al?
- A. Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.
- B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input
- C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.
正解：B
解説：
Predictive AI and generative AI represent two different applications of machine learning technologies.
Predictive AI focuses on making predictions based on historical data. It analyzes past data to forecast future outcomes, such as customer churn or sales trends. On the other hand, generative AI is designed to generate new and original outputs based on the learned data patterns. This includes tasks like creating new images, text, or music that resemble the training data but do not duplicate it. Both types of AI use machine learning, but their objectives and outputs are distinct. For detailed differences and applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful resource, accessible at Salesforce AI Technologies.
質問 # 61
Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a...
How can data quality be assessed quality?
- A. Leverage data quality apps from AppExchange
- B. Build a Data Management Strategy.
- C. Build reports to expire the data quality.
正解：A
解説：
Explanation
"Leveraging data quality apps from AppExchange is how data quality can be assessed. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Leveraging data quality apps from AppExchange means using third-party applications or solutions that can help measure, monitor, or improve data quality in Salesforce."
質問 # 62
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：
"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 # 63
Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?
What to a potential mason for this?
- A. Poor data quality
- B. Too much data
- C. The wrongproduct
正解：A
解説：
"Poor data quality is a potential reason for not seeing accurate results from an AI model. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor dataquality can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions."
質問 # 64
What is the rile of data quality in achieving AI business Objectives?
- A. Data quality is unnecessary because AI can work with all data types.
- B. Data quality is important for maintain Ai data storage limits
- C. Data quality is required to create accurate AI data insights.
正解：C
解説：
Explanation
"Data quality is required to create accurate AI data insights. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data quality can also affect the accuracy and validity of AI data insights, as they reflect the quality of the data used or generated by AI systems."
質問 # 65
In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?
- A. Empower users to solve challenging technical problems using neural networks.
- B. Empower users to contribute to the growing body of knowledge of leading AIresearch.
- C. Empower users to off all skill level to build AI application with clicks, not code.
正解：C
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 # 66
In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?
- A. Outlining the technical specifications for Al integration
- B. Ensuring ethical use of Al
- C. Providing a framework for data model accuracy
正解：B
解説：
The principle of Responsibility in Salesforce's Trusted AI Principles primarily focuses on ensuring that AI is used ethically. This includes making sure that AI technologies are developed and implemented in ways that are transparent, fair, and accountable, with a strong emphasis on the impact on individuals and society. The principle encourages organizations to take responsibility for the outcomes of their AI systems and to avoid unintended consequences that could harm users or society.
質問 # 67
Why is it critical to consider privacy concernswhen 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：
"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 defineand 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 AIand CRM data can be handled."
質問 # 68
Which data does Salesforce automatically exclude from marketing Cloud Einstein engagement model training to mitigate bias and ethic...
- A. Cryptographic
- B. Geographic
- 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 # 69
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. Confirmation
- B. Survivorship
- C. Societal
正解：A
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 # 70
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. Case Classification
- C. Bots
正解：C
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 # 71
What is an implication of user consent in regard to AI data privacy?
- A. AI infringes on privacy when user consent is not obtained.
- B. AI operates Independently of user privacy and consent.
- C. AI ensures complete data privacy by automatically obtaining user consent.
正解：A
解説：
Explanation
"AI infringes on privacy when user consent is not obtained. User consent is the permission or agreement given by a user to allow their personal data to be collected, used, shared, or stored by others. User consent is an important aspect of data privacy, which is the right of individuals to control how their personal data is handled by others. AI infringes on privacy when user consent is not obtained because it violates the user's rights and preferences regarding their personal data."
質問 # 72
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