Salesforce Salesforce Certifications SALESFORCE-AI-ASSOCIATE Questions & Answers

• Question 41:

  What are some of the ethical challenges associated with AI development?

  A. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes

  B. Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions

  C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

  Correct Answer: A

  "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 the models, 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."

• Question 42:

  How does AI which CRM help sales representatives better understand previous customer interactions?

  A. Creates, localizes, and translates product descriptions

  B. Triggers personalized service replies

  C. Provides call summaries

  Correct Answer: C

  "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."

• Question 43:

  Which Einstein capability uses emails to create content for Knowledge articles?

  A. Generate

  B. Discover

  C. Predict

  Correct Answer: A

  "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."

• Question 44:

  How does poor data quality affect predictive and generative AI models?

  A. Creates inaccurate results

  B. Increases raw data volume

  C. Decreases storage efficiency

  Correct Answer: A

  Poor data quality significantly impacts the performance of predictive and generative AI models by leading to inaccurate and unreliable results. Factors such as incomplete data, incorrect data, or poorly formatted data can mislead AI models during the learning phase, causing them to make incorrect assumptions, learn inappropriate patterns, or generalize poorly to new data. This inaccuracy can be detrimental in applications where precision is critical, such as in predictive analytics for sales forecasting or customer behavior analysis. Salesforce emphasizes the importance of data quality for AI model effectiveness in their AI best practices guide, which can be reviewed on Salesforce AI Best Practices.

• Question 45:

  What should organizations do to ensure data quality for their AI initiatives?

  A. Collect and curate high-quality data from reliable sources.

  B. Rely on AI algorithms to automatically handle data quality issues.

  C. Prioritize model fine-tuning over data quality improvements.

  Correct Answer: A

  "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."

• Question 46:

  What is Salesforce's Trusted AI Principle of Transparency?

  A. The customization of AT features to meet specific business requirements

  B. The integration of AT models with Salesforce workflows

  C. The clear and understandable explanation of Al decisions and actions

  Correct Answer: C

  Salesforce's Trusted AI Principle of Transparency emphasizes the importance of providing clear and understandable explanations of AI decisions and actions. This principle ensures that users can understand how AI conclusions are drawn, which is crucial for trust and accountability, especially in business applications where AI decisions can have significant impacts. Transparency helps mitigate the "black box" nature of AI systems by making them more interpretable and allows for better oversight, compliance, and alignment with ethical guidelines. Salesforce elaborates on these principles in their ethical AI practices, which can be further explored at Salesforce Ethical AI.

• Question 47:

  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.

  Correct Answer: B

  "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 48:

  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.

  Correct Answer: B

  "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."

• Question 49:

  Cloud Kicks' latest email campaign is struggling to attract new customers.

  How can AI increase the company's customer email engagement?

  A. Create personalized emails

  B. Resend emails to inactive recipients

  C. Remove invalid email addresses

  Correct Answer: A

  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.

• Question 50:

  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 a Data Management Strategy.

  B. Build reports to expire the data quality.

  C. Leverage data quality apps from AppExchange

  Correct Answer: C

  "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."