RELIABLE SALESFORCE-AI-SPECIALIST TEST FORUM | SALESFORCE-AI-SPECIALIST NEW DUMPS QUESTIONS

Reliable Salesforce-AI-Specialist Test Forum | Salesforce-AI-Specialist New Dumps Questions

Reliable Salesforce-AI-Specialist Test Forum | Salesforce-AI-Specialist New Dumps Questions

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Salesforce Certified AI Specialist Exam Sample Questions (Q119-Q124):

NEW QUESTION # 119
The AI Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should the AI Specialist take upon modifying the masked fields?

  • A. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response
  • B. Turn off the Einstein Trust Layer and turn it on again.
  • C. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.

Answer: A

Explanation:
After modifying masked fields in Einstein's Trust Layer, the next important step is to test and confirm that the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
Option B is correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
Option A (turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
Option C (turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.
Reference:
Salesforce Einstein Trust Layer Overview: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer.htm


NEW QUESTION # 120
An AI Specialist is creating a custom action in Einstein Copilot.
Which option is available for the AI Specialist to choose for the custom copilot action?

  • A. Apex trigger
  • B. Flows
  • C. SOQL

Answer: B

Explanation:
When creating acustom actionin Einstein Copilot, one of the available options is to useFlows. Flows are a powerful automation tool in Salesforce, allowing the AI Specialist to define custom logic and actions within the Copilot system. This makes it easy to extend Copilot's functionality without needing custom code.
WhileApex triggersandSOQLare important Salesforce tools,Flowsare the recommended method for creating custom actions within Einstein Copilot because they are declarative and highly adaptable.
For further guidance, refer toSalesforce Flow documentationandEinstein Copilot customization resources.


NEW QUESTION # 121
Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.
Which audit data is available using the Einstein Trust Layer?

  • A. Response accuracy and offensiveness score
  • B. Masked data and toxicity score
  • C. Hallucination score and bias score

Answer: B

Explanation:
Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information aboutmasked data-which ensures sensitive information is not exposed-and thetoxicity score, which evaluates the generated content for inappropriate or harmful language.
References:
* Salesforce AI Specialist Documentation - Einstein Trust Layer:Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.


NEW QUESTION # 122
An AI Specialist wants to ground a new prompt template with the User related list.
What should the AI Specialist consider?

  • A. The User related list is not supported in prompt templates.
  • B. The User related list should have View All access.
  • C. The User related list needs to be included on the record page.

Answer: A

Explanation:
An AI Specialist wants to ground a new prompt template with theUser related list. Grounding in prompt templates involves using data from related lists to provide context or additional information to the Large Language Model (LLM) when generating responses.
Key Consideration:
* Unsupported Related Lists in Prompt Templates:
* Limitation:TheUser related listisnot supportedin prompt templates for grounding purposes.
* Reason:Salesforce restricts certain objects and related lists from being used in prompt templates to maintain data security and integrity. The User object often contains sensitive information and is subject to strict access controls.
* Impact:Attempting to use the User related list in a prompt template will not work as expected because the system does not support it.
Why Options A and B are Incorrect:
* Option A (The User related list should have View All access):
* Incorrect:Even with View All access, the User related list is still not supported in prompt templates.
* Security Concerns:Granting View All access to the User object is a significant security risk and not a recommended practice.
* Option B (The User related list needs to be included on the record page):
* Incorrect:Including the User related list on the record page does not affect its availability in prompt templates.
* Irrelevance:The placement of the related list on the record page does not change the system's ability to access it in a prompt template.
References:
* Salesforce AI Specialist Documentation -Prompt Templates Limitations:
* Details the objects and related lists that are not supported in prompt templates.
* Salesforce Help -Data Access in Prompt Templates:
* Explains how data access and security considerations affect the use of objects in prompt templates.
* Salesforce Trailhead -Understanding Prompt Template Grounding:
* Provides insights into grounding prompt templates and the limitations involved.
Conclusion:
Since the User related list is not supported in prompt templates, the AI Specialist must consider alternative approaches. They might need to redesign the prompt template to use supported objects or related lists, or explore other methods to incorporate necessary user information while adhering to Salesforce's data access policies.


NEW QUESTION # 123
Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
What is a consideration for this requirement?

  • A. Storing this data requires Salesforce big objects.
  • B. Storing this data requires a custom object for data to be configured.
  • C. Storing this data requires Data Cloud to be provisioned.

Answer: C

Explanation:
When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data. The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.
Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.
Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real-time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.
Reference:
Salesforce Data Cloud Documentation: https://www.salesforce.com/products/data-cloud/overview/ Salesforce Einstein AI Overview: https://www.salesforce.com/products/einstein/overview/


NEW QUESTION # 124
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