Salesforce Salesforce AI Associate Exam Questions Simulate Actual Salesforce AI Associate Exam

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October 7, 2023
SALESFORCE AI ASSOCIATE exam dumps questions are designed to simulate the actual exam. This means that you will get a feel for the types of questions you can expect to see on the exam, as well as the format and difficulty level. In addition, AI Associate SALESFORCE AI ASSOCIATE dumps are often accompanied by detailed explanations and answers. This means that if you get a question wrong, you can learn from your mistake and understand why the correct answer is the right one. Test free online SALESFORCE AI ASSOCIATE exam dumps below.

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1. Which type of bias results from data being labeled according to stereotypes?

2. Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.

Which data quality dimension Is essential for this custom application?

3. An administrator at Cloud Kicks wants to ensure that a field is set up on the customer record so their preferred name can be captured.

Which Salesforce field type should the administrator use to accomplish this?

4. 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?

5. What is an example of ethical debt?

6. Cloud Kicks wants to use an AI mode 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?

7. A sales manager is looking to enhance the quality of lead data in their CRM system.

Which process will most likely help the team accomplish this goal?

8. What are some key benefits of AI in improving customer experiences in CRM?

9. To avoid introducing unintended bias to an AI model, which type of data should be omitted?

10. What does the term "data completeness" refer to in the context of data quality?


 

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