Salesforce AI Specialist Practice Exam

What are Einstein Trust Layer's key components?

1. Toxicity detection and data masking

2. Fine-tuning and prompt generation

3. Flex templates and dynamic grounding

4. Field generation and toxicity filters

The correct answer is: Toxicity detection and data masking

The Einstein Trust Layer is a framework designed to enhance the reliability and safety of AI systems by ensuring that the data utilized is trustworthy and that the results produced are ethical and secure. Toxicity detection and data masking are essential components within this layer. Toxicity detection is vital as it helps to identify and filter harmful or inappropriate content before it can affect users or the output of AI applications. This ability to maintain a safe environment is crucial for organizations that want to ensure they are not propagating biased, offensive, or damaging information through their AI systems. Data masking contributes to privacy and security by obfuscating sensitive information. This ensures that personal data is protected while still allowing AI models to be trained and operated on datasets that do not expose sensitive attributes. Together, these components create a robust framework that underscores the importance of ethical AI deployment, making it a core aspect of the Einstein Trust Layer.