Prepare for the Salesforce AI Specialist Exam. Study with flashcards and multiple choice questions, each question includes hints and explanations. Get ready for your certification success!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.


What does "Relevance" in Salesforce's AI principles refer to?

  1. Ensuring models perform quickly

  2. Ensuring AI outputs are meaningful to users

  3. Keeping model size minimal

  4. Providing random text generation

The correct answer is: Ensuring AI outputs are meaningful to users

"Relevance" in Salesforce's AI principles specifically refers to ensuring that the outputs generated by AI models are meaningful and useful to the users. This concept encompasses the idea that AI should align well with the needs, context, and objectives of the users, thus providing insights, recommendations, and information that enhance user experience and decision-making. A model's speed, size, or capability to generate random text might be important in different contexts but do not directly address the core principle of relevance. Instead, relevance emphasizes the importance of delivering actionable insights that are pertinent to the user's specific situation or query. By prioritizing meaningfulness, Salesforce aims to create AI solutions that truly add value and meet the unique requirements of their users.