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Salesforce Certified AI Associate Exam Questions
Salesforce Certified AI Associate (Page 3 )

Updated On: 16-Feb-2026
Page 3 of 22
PDF with 106 Questions

Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

  1. Usage
  2. Accuracy
  3. Consistency

Answer(s): C

Explanation:

"Consistency is the data quality dimension that is affected by multiple variations of state and country values in contact records. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing."



How is natural language processing (NLP) used in the context of AI capabilities?

  1. To cleanse and prepare data for AI implementations
  2. To interpret and understand programming language
  3. To understand and generate human language

Answer(s): C

Explanation:

"Natural language processing (NLP) is used in the context of AI capabilities to understand and generate human language. NLP can enable AI systems to interact with humans using natural language, such as speech or text. NLP can also enable AI systems to analyze and extract information from natural language data, such as documents, emails, or social media posts."



What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

  1. Testing models with diverse datasets
  2. Striving for model explain ability
  3. Working with human rights experts

Answer(s): A

Explanation:

"An example of Salesforce's Trusted AI Principle of Inclusivity in practice is testing models with diverse datasets. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences. Testing models with diverse datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."



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?

  1. Consistency
  2. Duplication
  3. Age

Answer(s): A

Explanation:

"Consistency is the data quality dimension that is essential for creating a custom service analytics application to analyze cases in Salesforce. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Consistent data can ensure that the custom application can accurately and efficiently analyze cases and provide meaningful insights."



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

  1. Collect and curate high-quality data from reliable sources.
  2. Rely on AI algorithms to automatically handle data quality issues.
  3. Prioritize model fine-tuning over data quality improvements.

Answer(s): A

Explanation:

"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."






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