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NEW QUESTION # 23
How does AI which CRM help sales representatives better understand previous customer interactions?
- A. Triggers personalized service replies
- B. Provides call summaries
- C. Creates, localizes, and translates product descriptions
Answer: B
Explanation:
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."
NEW QUESTION # 24
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. Build reports to expire the data quality.
- B. Build a Data Management Strategy.
- C. Leverage data quality apps from AppExchange
Answer: C
Explanation:
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."
NEW QUESTION # 25
A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce's Trusted AI Principle of Transparency?
- A. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
- B. Incorporate customer feedback into the model's continuous training.
- C. Communicate how risk factors such as credit score can impact customer eligibility.
Answer: A
Explanation:
Explanation
"Flagging sensitive variables and their proxies to prevent discriminatory lending practices is 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 variables that 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."
NEW QUESTION # 26
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. Number
- B. Picklist
- C. Text
Answer: B
Explanation:
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."
NEW QUESTION # 27
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.
Answer: B
Explanation:
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."
NEW QUESTION # 28
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.
Answer: A
Explanation:
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."
NEW QUESTION # 29
Which type of bias imposes a system 's values on others?
- A. Association
- B. Societal
- C. Automation
Answer: B
Explanation:
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."
NEW QUESTION # 30
What is a key challenge of human AI collaboration in decision-making?
- A. Reduce the need for human involvement in decision-making processes
- B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
- C. Leads to move informed and balanced decision-making
Answer: B
Explanation:
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."
NEW QUESTION # 31
What is a sensitive variable that car esc to bias?
- A. Country
- B. Education level
- C. Gender
Answer: C
Explanation:
Explanation
"Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems."
NEW QUESTION # 32
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
Answer: A
Explanation:
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."
NEW QUESTION # 33
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 and mitigated
- C. Chances of bias are remove
Answer: B
Explanation:
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."
NEW QUESTION # 34
What is machine learning?
- A. AI that can grow its intelligence
- B. AI that creates new content
- C. A data model used in Salesforce
Answer: C
Explanation:
Explanation
"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."
NEW QUESTION # 35
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. An explanation of the prediction's rationale and a model card that describes how the model was created
- B. A marketing article of the product that clearly outlines the oroduct's capabilities and features
- C. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
Answer: A
Explanation:
Explanation
"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."
NEW QUESTION # 36
What should organizations do to ensure data quality for their AI initiatives?
- A. Collect and curate high-quality data from reliable sources.
- B. Prioritize model fine-tuning over data quality improvements.
- C. Rely on AI algorithms to automatically handle data quality issues.
Answer: A
Explanation:
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."
NEW QUESTION # 37
Why is it critical to consider privacy concerns when dealing with AI and CRM data?
- A. Increases the volume of data collected
- B. Ensures compliance with laws and regulations
- C. Confirms the data is accessible to all users
Answer: B
Explanation:
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."
NEW QUESTION # 38
What is the most likely impact that high-quality data will have on customer relationships?
- A. Increased brand loyalty
- B. Improved customer trust and satisfaction
- C. Higher customer acquisition costs
Answer: B
Explanation:
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."
NEW QUESTION # 39
Which statement exemplifies Salesforces honesty guideline when training AI models?
- A. Control bias, toxicity, and harmful content with embedded guardrails and guidance.
- B. Minimize the AI models carbon footprint and environment impact during training.
- C. Ensure appropriate consent and transparency when using AI-generated responses.
Answer: C
Explanation:
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."
NEW QUESTION # 40
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. Machine learning models and chatbot predictions
- B. Lead scoring, opportunity forecasting, and case classification
- C. Sales data cleansing and customer support data governance
Answer: B
Explanation:
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."
NEW QUESTION # 41
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. Financial status
- B. Email address
- C. Nickname
Answer: A
Explanation:
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."
NEW QUESTION # 42
How does an organization benefit from using AI to personalize the shopping experience of online customers?
- A. Customers are more likely to share personal information with a site that personalizes their experience.
- B. Customers are more likely to be satisfied with their shopping experience.
- C. Customers are more likely to visit competitor sites that personalize their experience.
Answer: B
Explanation:
Explanation
"An organization benefits from using AI to personalize the shopping experience of online customers by increasing customer satisfaction. AI can help provide customized and relevant product recommendations, offers, or content based on the customers' preferences, behavior, or needs. AI can also help create a more engaging and interactive shopping experience by using natural language processing (NLP) or computer vision techniques. Personalized shopping experiences can improve customer satisfaction by meeting their expectations, needs, and interests."
NEW QUESTION # 43
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