Download Salesforce.Certified-AI-Associate.CertDumps.2023-11-22.33q.tqb
| Vendor: | Salesforce |
| Exam Code: | Certified-AI-Associate |
| Exam Name: | Certified AI Associate |
| Date: | Nov 22, 2023 |
| File Size: | 125 KB |
Demo Questions
Question 1
What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?
- Testing models with diverse datasets
- Striving for model explain ability
- Working with human rights experts
Correct answer: 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.'' ''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.''
Question 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?
- Consistency
- Duplication
- Age
Correct answer: 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.'' ''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.''
Question 3
What should organizations do to ensure data quality for their AI initiatives?
- Collect and curate high-quality data from reliable sources.
- Rely on AI algorithms to automatically handle data quality issues.
- Prioritize model fine-tuning over data quality improvements.
Correct answer: 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.'' ''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.''
