Certified AI Associate Practice Test

Certified AI Associate Practice Test practice questions, page 3 of 5, with answer review and explanations.

Question 11

In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?

  1. Empower users of all skill levels to build AI applications with clicks, not code.
  2. Empower users to solve challenging technical problems using neural networks.
  3. Empower users to contribute to the growing body of knowledge of leading AI research.

Question 12

Cloud Kicks wants to use an AI model to predict the demand for shoes using historical data on sales and regional characteristics. What is an essential data quality dimension to achieve this goal?

  1. Age
  2. Reliability
  3. Volume

Question 13

A financial institution plans a campaign for preapproved credit cards. How should they implement Salesforce's Trusted AI Principle of Transparency?

  1. Communicate how risk factors such as credit score can impact customer eligibility.
  2. Flag sensitive variables and their proxies to prevent discriminatory lending practices.
  3. Incorporate customer feedback into the model’s continuous training.

Question 14

What is a key challenge of human-AI collaboration in decision-making?

  1. Leads to more informed and balanced decision-making
  2. Creates a reliance on AI, potentially leading to less critical thinking and oversight
  3. Reduces the need for human involvement in decision-making processes

Question 15

Which best describes the difference between predictive AI and generative AI?

  1. 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.
  2. 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.
  3. Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input.