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質問 # 12
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?
- A. Consent
- B. Usage
- C. Duplication
正解：C
解説：
"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies.
Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors,or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."
質問 # 13
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
- A. Demographic
- B. Engagement
- C. Transactional
正解：A
解説：
Explanation
"Demographic data should be omitted to avoid introducing unintended bias to an AI model. 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."
質問 # 14
A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address
...
Which feature should they use to accomplish this?
- A. Validation rule
- B. Duplicate matching rule
- C. Autofill
正解：A
解説：
"A validation rule should be used to ensure that each new contact contains at least an email address or phone number. A validation rule is a feature that checks the data entered by users for errors before saving it to Salesforce. A validation rule can help ensure data quality by enforcing certain criteria or conditions for the data values."
質問 # 15
How is natural language processing (NLP) used in the context of AI capabilities?
- A. To cleanse and prepare data for AI implementations
- B. To understand and generate human language
- C. To interpret and understand programming language
正解：B
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 # 16
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?
- A. Chances of bias are remove
- B. Chances of bias are aggravated
- C. Chances of bIas and mitigated
正解：C
解説：
"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 dataused or generated by the generative AI model."
質問 # 17
A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?
- A. Flagsensitive variables and their proxies to prevent discriminatory lending practices.
- B. Communicate how risk factors such as credit score can impact customer eligibility.
- C. Incorporate customer feedback into the model's continuous training.
正解：A
解説：
"Flagging sensitive variables and their proxies to prevent discriminatory lending practicesis how they should implement Salesforce's Trusted AI Principle of Transparency. Transparency is one of the Trusted AI Principles that states 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. Flagging sensitive variables and their proxies means identifying and marking variablesthat can potentially cause discrimination or unfair treatment based on a person's identity or characteristics, such as age, gender, race, income, or credit score. Flagging sensitive variables and their proxies can help implement Transparency by allowing users to understand and evaluate the data used or generated by AI systems."
質問 # 18
Which type of bias imposes a system 's values on others?
- A. Association
- B. Automation
- C. Societal
正解：C
解説：
Explanation
"Societal bias is the type of bias that imposes a system's values on others. Societal bias is a type of bias that reflects the assumptions, norms, or values of a specific society or culture. Societal bias can affect the fairness and ethics of AI systems, as they may affect how different groups or domains are perceived, treated, or represented by AI systems. For example, societal bias can occur when AI systems impose a system's values on others, such as using Western standards of beauty or success to judge or rank people from other cultures."
質問 # 19
Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
Which feature should be used to accomplish this?
- A. Duplicate management
- B. Standardized field names
- C. Trigger deletion of old records
正解：A
解説：
Explanation
"Duplicate management should be used to remove multiple records for the same customer in Salesforce.
Duplicate management is a feature that helps prevent and manage duplicate records in Salesforce. Duplicate management can help define matching rules, duplicate rules, and alert messages to detect and merge duplicate records."
質問 # 20
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. Bots
- B. Recommendation
- C. Case Classification
正解：A
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 # 21
A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?
- A. Data modeling and management
- B. Sales dashboards and reporting
- C. Lead soring and opportunity forecasting
正解：C
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 # 22
What is the best method to safeguard customer data privacy?
- A. Automatically anonymize all customer data.
- B. Track customer data consent preferences.
- C. Archive customer data on a recurring schedule.
正解：B
解説：
"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 preferencesof 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 # 23
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. Lead scoring, opportunity forecasting, and case classification
- B. Machine learning models and chatbot predictions
- C. Sales data cleansing and customer support data governance
正解：A
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 # 24
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 # 25
The Cloud technical team is assessing the effectiveness of their AI development processes?
Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution?
- A. Ethical AI Prediction Maturity Model
- B. Ethical AI practice Maturity Model
- C. Ethical AI Process Maturity Model
正解：C
解説：
"The Ethical AI Process Maturity Model is the established Salesforce Ethical Maturity Model that the Cloud technical team should use toguide the development of trusted AI solutions. The Ethical AI Process Maturity Model is a framework that helps assess and improve the ethical and responsible practices and processes involved in developing and deploying AI systems. The Ethical AI Process Maturity Model consists of five levels of maturity: Ad Hoc, Aware, Defined, Managed, and Optimized. The Ethical AI Process Maturity Model can help guide the development of trusted AI solutions by providing a roadmap and best practices for achieving higher levels of ethical maturity."
質問 # 26
How does AI which CRM help sales representatives better understand previous customer interactions?
- A. Creates, localizes, and translates product descriptions
- B. Provides call summaries
- C. Triggers personalized service replies
正解：B
解説：
Explanation
"Providing call summaries is how AI with CRM helps sales representatives better understand previous customer interactions. Call summaries are a feature that uses natural language processing (NLP) to analyze voice conversations between sales representatives and customers and generate summaries or transcripts of the calls. Call summaries can help sales representatives better understand previous customer interactions by providing key information, insights, or action items from the calls."
質問 # 27
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：
"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 byothers. 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 # 28
Which Einstein capability uses emails to create content for Knowledge articles?
- A. Discover
- B. Generate
- C. Predict
正解：B
解説：
"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."
質問 # 29
What are some of the ethical challenges associated with AI development?
- A. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making
- B. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
- C. Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions
正解：B
解説：
"Some of the ethical challenges associated with AI development are the potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes. Human bias can arise from the data used to train themodels, the design choices made by the developers, or the interpretation of the results by the users. Lack of transparency can make it difficult to understand how and why AI systems make certain decisions, which can affect trust, accountability, and fairness."
質問 # 30
Cloud Kicks' latest email campaign is struggling to attract new customers.
How can AI increase the company's customer email engagement?
- A. Remove invalid email addresses
- B. Resend emails to inactive recipients
- C. Create personalized emails
正解：C
解説：
AI can significantly increase customer email engagement by creating personalized emails. Salesforce Einstein AI enhances email marketing campaigns by analyzing customer data and past interactions to tailor the content, timing, and recommendations within emails. This personalization leads to higher engagement rates as emails resonate more closely with individual preferences and behaviors. Salesforce Marketing Cloud provides tools to leverage AI for crafting personalized email campaigns, ensuring that emails are relevant and appealing to recipients. For more insights into how AI can be used to enhance email marketing, see the Salesforce Marketing Cloud page at Salesforce Marketing Cloud Email Studio.
質問 # 31
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. Completeness
- B. Consistency
- C. Accuracy
正解：B
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 # 32
Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics.
What is an essential data quality dimension to achieve this goal?
- A. Age
- B. Reliability
- C. Volume
正解：B
解説：
Explanation
"Reliability is an essential data quality dimension to achieve the goal of predicting the demand for shoes using historical data on sales and regional characteristics. Reliability means that the data values are trustworthy, credible, and authoritative for the AI task. Reliable data can improve the accuracy and confidence of AI predictions, as they reflect the true state or condition of the target population or domain. For example, reliable data can help predict the demand for shoes by using verified and validated sales and regional data."
質問 # 33
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?
- A. Consent
- B. Usage
- C. Duplication
正解：C
解説：
"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies.
Duplication means that the data contains multiple copies or instances of the same record or value.
Duplication can cause confusion, errors, or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."
質問 # 34
What is a benefit of a diverse, balanced, and large dataset?
- A. Data privacy
- B. Training time
- C. Model accuracy
正解：C
解説：
"Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting orunderfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data."
質問 # 35
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：B
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 # 36
Which type of bias imposes a system 's values on others?
- A. Association
- B. Automation
- C. Societal
正解：C
質問 # 37
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Salesforce Salesforce-AI-Associate 認定試験の出題範囲：
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更新された公式認定はSalesforce-AI-Associate認証済みのSalesforce-AI-Associate問題集でPDF：https://jp.fast2test.com/Salesforce-AI-Associate-premium-file.html