Question # 1
| Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity? | | A. Test only with data from a specific region or demographic to limit the risk of data leaks. | | B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model. | | C. Test with diverse and representative datasets appropriate for how the model will be used. |
C. Test with diverse and representative datasets appropriate for how the model will be used.
Explanation:
Testing with diverse and representative datasets appropriate for how the model will be used aligns with Salesforce’s Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain.
Question # 2
| What is an example of ethical debt? | | A. Violating a data privacy law and failing to pay fines | | B. Delaying an AI product launch to retrain an AI data model | | C. Launching an AI feature after discovering a harmful bias |
C. Launching an AI feature after discovering a harmful bias
Question # 3
To avoid introducing unintended bias to an AI model, which type of data should be omitted?
| | A. Transactional | | B. Engagement | | C. Demographic |
C. Demographic
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.”
Question # 4
| What should be done to prevent bias from entering an AI system when training it? | | A. Use alternative assumptions. | | B. Import diverse training data. | | C. Include Proxy variables. |
B. Import diverse training data.
Explanation: “Using diverse training data is what should be done to prevent bias from entering an AI system when training it. Diverse training data means that the data covers a wide range of features and patterns that are relevant for the AI task. Diverse training data can help prevent bias by ensuring that the AI system learns from a balanced and representative sample of the target population or domain. Diverse training data can also help improve the accuracy and generalization of the AI system by capturing more variations and scenarios in the data.”
Question # 5
| Which statement exemplifies Salesforces honesty guideline when training AI models? | | A. Minimize the AI models carbon footprint and environment impact during training. | | B. Ensure appropriate consent and transparency when using AI-generated responses. | | C. Control bias, toxicity, and harmful content with embedded guardrails and guidance. |
B. Ensure appropriate consent and transparency when using AI-generated responses.
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.”
Question # 6
| 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. Case Classification | | B. Bots | | C. Recommendation |
B. Bots
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.”
Question # 7
| Why is it critical to consider privacy concerns when dealing with AI and CRM data? | | A. Ensures compliance with laws and regulations | | B. Confirms the data is accessible to all users | | C. Increases the volume of data collected |
A. Ensures compliance with laws and regulations
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.”
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FAQs of Salesforce-AI-Associate Exam
What is covered under Einstein AI Basics in the Salesforce-AI-Associate exam?
It includes fundamental concepts of Salesforce Einstein AI, like predictive analytics and machine learning principles.
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Data Preparation involves cleaning and organizing data to make it suitable for processing by Salesforce AI models.
How is Einstein Discovery used in Salesforce?
Einstein Discovery is used for data analysis, uncovering patterns, and making predictive recommendations based on data.
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It enables creating custom predictive models that help in making informed business decisions based on data.
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Einstein Language processes natural language for sentiment analysis
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The exam typically consists of multiple-choice questions, covering theoretical and practical aspects of Salesforce AI.
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