Salesforce Salesforce Certifications SALESFORCE-AI-ASSOCIATE Questions & Answers

• Question 1:

  What are the key components of the data quality standard?

  A. Naming, formatting, Monitoring

  B. Accuracy, Completeness, Consistency

  C. Reviewing, Updating, Archiving

  Correct Answer: B

  "Accuracy, Completeness, Consistency are the key components of the data quality standard. Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency. Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources."

• Question 2:

  A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.

  Which primary role does data Quality play In this AI application?

  A. Enhanced accuracy and reliability of medical predictions and diagnoses

  B. Ensured compatibility of AI algorithms with the system's Infrastructure

  C. Reduced need for healthcare expertise in interpreting AI outouts

  Correct Answer: A

  "Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the data used for AI applications in healthcare is accurate, complete, consistent, and relevant."

• Question 3:

  Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges.

  What should they consider doing to minimize potential AI bias?

  A. Integrate AI models that auto-correct biased data.

  B. Implement Salesforce's Trusted AI Principles.

  C. Use demographic data to identify minority groups.

  Correct Answer: B

  "Implementing Salesforce's Trusted AI Principles is what Cloud Kicks should consider doing to minimize potential AI bias. Salesforce's Trusted AI Principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness and Equality, Transparency and Explainability, Privacy and Security, Reliability and Safety, Inclusivity and Diversity, Empowerment and Education."

• Question 4:

  Which type of bias imposes a system `s values on others?

  A. Societal

  B. Automation

  C. Association

  Correct Answer: A

  "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."

• Question 5:

  What is the role of Salesforce Trust AI principles in the context of CRM system?

  A. Guiding ethical and responsible use of AI

  B. Providing a framework for AI data model accuracy

  C. Outlining the technical specifications for AI integration

  Correct Answer: A

  "The role of Salesforce Trust AI principles in the context of CRM systems is guiding ethical and responsible use of AI. Salesforce Trust AI principles are a set of guidelines and best practices for developing and using AI systems in a responsible and ethical way. The principles include Accountability, Fairness and Equality, Transparency and Explainability, Privacy and Security, Reliability and Safety, Inclusivity and Diversity, Empowerment and Education. The principles aim to ensure that AI systems are aligned with the values and interests of customers, partners, and society."

• Question 6:

  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.

  Correct Answer: B

  "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 7:

  What is a potential outcome of using poor-quality data in AI application?

  A. AI model training becomes slower and less efficient

  B. AI models may produce biased or erroneous results.

  C. AI models become more interpretable

  Correct Answer: B

  "A potential outcome of using poor-quality data in AI applications is that AI models may produce biased or erroneous results. Poor-quality data means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor-quality data 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. Poor-quality data can also introduce or exacerbate biases or errors in AI models, such as human bias, societal bias, confirmation bias, or overfitting or underfitting."

• Question 8:

  What is the key difference between generative and predictive AI?

  A. Generative AI creates new content based on existing data and predictive AI analyzes existing data.

  B. Generative AI finds content similar to existing data and predictive AI analyzes existing data.

  C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.

  Correct Answer: A

  "The key difference between generative and predictive AI is that generative AI creates new content based on existing data and predictive AI analyzes existing data. Generative AI is a type of AI that can generate novel content such as images, text, music, or video based on existing data or inputs. Predictive AI is a type of AI that can analyze existing data or inputs and make predictions or recommendations based on patterns or trends."

• Question 9:

  What is a key benefit of effective interaction between humans and AI systems?

  A. Leads to more informed and balanced decision making

  B. Alerts humans to the presence of biased data

  C. Reduces the need for human involvement

  Correct Answer: A

  "A key benefit of effective interaction between humans and AI systems is that it leads to more informed and balanced decision making. Effective interaction means that humans and AI systems can communicate and collaborate with each other in a clear, natural, and respectful way. Effective interaction can help leverage the strengths and complement the weaknesses of both humans and AI systems. Effective interaction can also help increase trust, confidence, and satisfaction in using AI systems."

• Question 10:

  Cloud Kicks is testing a new AI model.

  Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

  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.

  Correct Answer: C

  "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."