Podcast
Questions and Answers
Which best describes the difference between predictive AI and generative AI?
Which best describes the difference between predictive AI and generative AI?
- Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine learning to generate new and original output for a given input. (correct)
- Predictive AI and generative AI have the same capabilities but differ in the type of input they receive; predictive AI receives raw data whereas generative AI receives natural language.
- Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output.
What is an implication of user consent in regard to AI data privacy?
What is an implication of user consent in regard to AI data privacy?
- AI ensures complete data privacy by automatically obtaining user consent.
- AI infringes on privacy when user consent is not obtained. (correct)
- AI operates independently of user privacy and consent.
What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?
What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?
- Different types of data models used in Salesforce.
- Different types of automation tools used in Salesforce.
- Different types of AI that can be applied in Salesforce. (correct)
A sales manager wants to improve their processes using AI in Salesforce. Which application of AI would be most beneficial?
A sales manager wants to improve their processes using AI in Salesforce. Which application of AI would be most beneficial?
What does the term "data completeness" refer to in the context of data quality?
What does the term "data completeness" refer to in the context of data quality?
Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use?
Cloud Kicks plans to use automated chat as its primary support channel. Which Einstein feature should they use?
Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?
Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?
Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement?
Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement?
What is the significance of explainability of trusted AI systems?
What is the significance of explainability of trusted AI systems?
What is a benefit of data quality and transparency as it pertains to bias in generative AI?
What is a benefit of data quality and transparency as it pertains to bias in generative AI?
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
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?
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?
What is a key challenge of human-AI collaboration in decision-making?
What is a key challenge of human-AI collaboration in decision-making?
Which statement exemplifies Salesforce's honesty guideline when training AI models?
Which statement exemplifies Salesforce's honesty guideline when training AI models?
What is a potential outcome of using poor-quality data in AI applications?
What is a potential outcome of using poor-quality data in AI applications?
In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?
In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?
What is the best method to safeguard customer data privacy?
What is the best method to safeguard customer data privacy?
What are some of the ethical challenges associated with AI development?
What are some of the ethical challenges associated with AI development?
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
What are the three commonly used examples of AI in CRM?
What are the three commonly used examples of AI in CRM?
What is a sensitive variable that can lead to bias?
What is a sensitive variable that can lead to bias?
What is a potential source of bias in training data for AI models?
What is a potential source of bias in training data for AI models?
What are the potential consequences of an organization suffering from poor data quality?
What are the potential consequences of an organization suffering from poor data quality?
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 frequently asked questions. Which field of AI is most suitable for this scenario?
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 frequently asked questions. Which field of AI is most suitable for this scenario?
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?
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?
What is a benefit of a diverse, balanced, and large dataset?
What is a benefit of a diverse, balanced, and large dataset?
Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use?
Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use?
A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of AI models?
A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of AI models?
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 Salesforce administrator creates a new field to capture an order's destination country. Which field type should they use to ensure data quality?
Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly?
Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a concern. How can data quality be assessed quickly?
In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?
In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?
How is natural language processing (NLP) used in the context of AI capabilities?
How is natural language processing (NLP) used in the context of AI capabilities?
A business analyst (BA) is preparing a new use case for AI. They run a report to check for null values in the attributes they plan to use. Which data quality component is the BA verifying by checking for null values?
A business analyst (BA) is preparing a new use case for AI. They run a report to check for null values in the attributes they plan to use. Which data quality component is the BA verifying by checking for null values?
Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality?
Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records. Which type of records negatively impact data quality?
How does a data quality assessment impact business outcomes for companies using AI?
How does a data quality assessment impact business outcomes for companies using AI?
A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?
A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?
What should organizations do to ensure data quality for their AI initiatives?
What should organizations do to ensure data quality for their AI initiatives?
What is one technique to mitigate bias and ensure fairness in AI applications?
What is one technique to mitigate bias and ensure fairness in AI applications?
A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced?
A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced?
Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails?
Which type of AI can enhance customer service agents' email responses by analyzing the written content of previous emails?
Flashcards
What's the key difference between predictive AI and generative AI?
What's the key difference between predictive AI and generative AI?
Predictive AI uses machine learning to classify or predict outputs from its input data, while generative AI uses machine learning to generate new and original outputs for a given input.
What does user consent imply regarding AI and data privacy?
What does user consent imply regarding AI and data privacy?
User consent is crucial for respecting data privacy. AI systems should obtain explicit consent before using personal data, and they should be transparent about how this data is used.
What are predictive analytics, machine learning, NLP, and computer vision?
What are predictive analytics, machine learning, NLP, and computer vision?
Predictive analytics, machine learning, NLP (Natural Language Processing), and computer vision are different types of AI that can be applied in Salesforce. They each have unique areas of expertise.
Which AI application would be most beneficial for a sales manager?
Which AI application would be most beneficial for a sales manager?
Lead scoring and opportunity forecasting can help sales managers improve their processes by predicting which leads are most likely to convert and which opportunities are most likely to close.
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What does "data completeness" refer to in the context of data quality?
What does "data completeness" refer to in the context of data quality?
Data completeness refers to the extent to which all necessary data points are present in a dataset. Having complete data is crucial for effective data analysis and AI model training.
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Which Einstein feature should Cloud Kicks use for automated customer support?
Which Einstein feature should Cloud Kicks use for automated customer support?
Einstein Bots is an AI-powered chatbot that can provide instant customer support, answer frequently asked questions, and guide customers through self-service options.
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Which data quality dimension is affected by variations in state and country values?
Which data quality dimension is affected by variations in state and country values?
Consistency refers to the uniformity and adherence to standards across data values. Inconsistent data can lead to errors and ambiguity.
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How can AI increase customer email engagement?
How can AI increase customer email engagement?
Personalized emails, tailored to individual customer preferences and behaviors, can significantly increase customer engagement.
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What is the significance of explainability in trusted AI systems?
What is the significance of explainability in trusted AI systems?
Explainability describes how AI models make decisions, making it easier to understand their reasoning and identify potential biases.
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What is the benefit of data quality and transparency regarding bias in generative AI?
What is the benefit of data quality and transparency regarding bias in generative AI?
Data quality and transparency can help mitigate bias in generative AI by ensuring that the data used to train the model is diverse, balanced, and representative.
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What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
Accountability means taking responsibility for the actions of AI systems, ensuring they are used ethically toward customers, partners, and society.
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Which potentially sensitive attribute is an example of an immutable trait?
Which potentially sensitive attribute is an example of an immutable trait?
Financial status is considered a potentially sensitive attribute because it reflects an individual's economic situation, which can be used for discriminatory purposes.
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What is a key challenge of human-AI collaboration in decision-making?
What is a key challenge of human-AI collaboration in decision-making?
Over-reliance on AI can lead to decreased critical thinking, which can impact decision-making quality. It's important to maintain human oversight and critical analysis.
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Which statement exemplifies Salesforce's honesty guideline when training AI models?
Which statement exemplifies Salesforce's honesty guideline when training AI models?
Salesforce emphasizes the importance of honesty in AI model training, which includes using ethically sourced data and minimizing negative environmental impacts.
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What is a potential outcome of using poor-quality data in AI applications?
What is a potential outcome of using poor-quality data in AI applications?
Poor-quality data can lead to biased or inaccurate outputs, as AI models learn from the data provided. This can result in faulty predictions and incorrect decisions.
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What does the principle of Responsibility primarily focus on in Salesforce's Trusted AI Principles?
What does the principle of Responsibility primarily focus on in Salesforce's Trusted AI Principles?
The principle of responsibility in Trusted AI focuses on ensuring ethical use of AI, including responsible data collection, algorithmic transparency, and accountability for potential biases.
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What is the best method to safeguard customer data privacy?
What is the best method to safeguard customer data privacy?
Tracking customer data consent preferences helps safeguard data privacy by ensuring that data is used in accordance with individual consent choices.
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What are some ethical challenges associated with AI development?
What are some ethical challenges associated with AI development?
Ethical challenges associated with AI development include ensuring fairness, mitigating biases, and addressing potential harms to individuals and society.
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What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
Testing AI models with diverse datasets helps ensure that they are fair and inclusive, reducing the risk of bias against specific demographics.
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What are the three commonly used examples of AI in CRM?
What are the three commonly used examples of AI in CRM?
Predictive scoring, forecasting, and recommendations are commonly used AI applications in CRM to personalize customer experiences, optimize sales processes, and improve customer satisfaction.
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What is a sensitive variable that can lead to bias?
What is a sensitive variable that can lead to bias?
Gender can be a sensitive variable that can lead to bias, as it can be used to make discriminatory decisions based on stereotypes.
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What is a potential source of bias in training data for AI models?
What is a potential source of bias in training data for AI models?
Skewed training data, where certain demographics or sources are overrepresented or underrepresented, can lead to biased AI models that perpetuate existing inequalities.
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What are the potential consequences of an organization suffering from poor data quality?
What are the potential consequences of an organization suffering from poor data quality?
Poor data quality can lead to consequences like revenue loss, poor customer service, and damage to an organization's reputation. It's essential to maintain good data quality for accurate AI predictions.
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Which field of AI is most suitable for a chatbot that answers frequently asked questions?
Which field of AI is most suitable for a chatbot that answers frequently asked questions?
Natural language processing (NLP) enables AI to understand and process human language, making it suitable for chatbots that can answer user questions and provide relevant information.
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What should a company do first to prepare its data for use with AI?
What should a company do first to prepare its data for use with AI?
Before implementing AI, businesses should evaluate data availability, ensuring they have enough data of sufficient quality to train AI models effectively.
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What is a benefit of a diverse, balanced, and large dataset?
What is a benefit of a diverse, balanced, and large dataset?
A large, diverse, and balanced dataset helps to improve AI model accuracy by providing the model with a wider range of perspectives and reducing the risk of bias.
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Exam Results
- Time taken: 24 minutes out of a total of 70 minutes
- Result: Pass
- Topics covered: AI Fundamentals, AI Capabilities in CRM, Ethical Considerations of AI, Data for AI
- Percentage correct: 100% for AI Fundamentals and AI Capabilities in CRM, 93% for Ethical Considerations of AI and Data for AI
- Number of items: 40
- Answered correctly: 40
- Unanswered: 0
- Marked for review: 0
Assessment Summary
- Assessment responses are listed
- Asterisks next to item numbers indicate items marked for review
Answers
- 1: A
- 2: B
- 3: A
- 4: A
- 5: B
- 6: B
- 7: C
- 8: C
- 9: B
- 10: B
- 11: C
- 12: A
- 13: B
- 14: A
- 15: A
- 16: B
- 17: B
- 18: B
- 19: B
- 20: C
- 21: B
- 22: C
- 23: C
- 24: C
- 25: B
- 26: A
- 27: C
- 28: A
- 29: C
- 30: C
- 31: C
- 32: B
- 33: A
- 34: A
- 35: B
- 36: A
- 37: B
- 38: C
- 39: C
- 40: B
Additional Questions and Answers
- Question 40 of 40: Predictive AI vs Generative AI
- Correct answer: Predictive AI uses machine learning to classify or predict outputs from its input data, whereas generative AI uses machine learning to generate new and original output for a given input.
- Question 39 of 40: User consent and AI data privacy
- Correct Answer: AI infringes on privacy when user consent is not obtained.
- Question 38 of 40: Different types of AI
- Correct Answer: Different types of AI that can be applied in Salesforce.
- Question 37 of 40: AI application for sales manager
- Correct Answer: Lead scoring and opportunity forecasting
- Question 36 of 40: Data completeness
- Correct Answer: The degree to which all required data points are present in the dataset
- Question 35 of 40: AI for customer support
- Correct Answer: Bots
- Question 34 of 40: Data quality issue
- Correct Answer: Consistency
- Question 33 of 40: Increasing customer email engagement with AI
- Correct Answer: Create personalized emails
- Question 32 of 40: Significance of explainability in trusted AI systems
- Correct Answer: Enhances the security and accuracy of AI models
- Question 31 of 40: Data quality and bias in generative AI
- Correct Answer: Chances of bias are mitigated
- Question 30 of 40: Focus of Accountability Principle
- Correct Answer: Taking responsibility for one's actions toward customers, partners, and society
- Question 29 of 40: Immutable traits
- Correct Answer: Email address
- Question 28 of 40: Challenge of human-AI collaboration
- Correct Answer: Creates a reliance on AI potentially leading to less critical thinking and oversight
- Question 27 of 40: Honesty guideline in training AI models
- Correct Answer: Ensure appropriate consent and transparency when using AI-generated responses
- Question 26 of 40: Potential outcome of poor quality data in AI
- Correct Answer: AI models may produce biased or erroneous results.
- Question 25 of 40: Focus of Responsibility Principle
- Correct Answer: Ensuring ethical use of AI
- Question 24 of 40: Customer data privacy
- Correct Answer: Protect customer data with encrypted access
- Question 23 of 40: Ethical challenges in AI development
- Correct Answer: Striving for model explainability
- Question 22 of 40: Example of Salesforce's Trusted AI Principle of Inclusivity
- Correct Answer: Testing models with diverse datasets
- Question 21 of 40: Common AI examples in CRM
- Correct Answer: Predictive scoring, forecasting, recommendations
- Question 20 of 40: Sensitive variable leading to bias
- Correct Answer: Gender
- Question 19 of 40: Potential source of bias in training data
- Correct Answer: The data is skewed toward a particular demographic or source.
- Question 18 of 40: Consequences of poor data quality in an organization
- Correct Answer: Revenue loss, poor customer service, and reputational damage
- Question 17 of 40: Suitable AI method for chatbots
- Correct Answer: Natural language processing
- Question 16 of 40: First step in preparing data for AI使用
- Correct Answer: Determine data availability
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