Latest Salesforce-AI-Specialist Guide Files & Salesforce-AI-Specialist Valid Exam Vce Free
Latest Salesforce-AI-Specialist Guide Files & Salesforce-AI-Specialist Valid Exam Vce Free
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>> Latest Salesforce-AI-Specialist Guide Files <<
Salesforce Salesforce-AI-Specialist Valid Exam Vce Free, Formal Salesforce-AI-Specialist Test
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Salesforce Certified AI Specialist Exam Sample Questions (Q118-Q123):
NEW QUESTION # 118
A Salesforce AI Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template.
What should the AI Specialist do to ensure the prompt template's effectiveness?
- A. Monitor and refine the template based on user feedback.
- B. Periodically change the templates grounding object.
- C. Use the Prompt Builder Scorecard to help monitor.
Answer: C
Explanation:
To address the ineffectiveness of a prompt template reported by a customer, the Salesforce AI Specialist should use the Prompt Builder Scorecard (Option B). This tool is explicitly designed to evaluate and monitor prompt templates against key criteria such as relevance, accuracy, safety, and grounding. By leveraging the scorecard, the specialist can systematically identify weaknesses in the template and make data- driven refinements. While monitoring and refining based on user feedback (Option A) is a general best practice, the Prompt Builder Scorecard is Salesforce's recommended tool for structured evaluation, aligning with documented processes for maintaining prompt effectiveness. Changing the grounding object (Option C) without proper evaluation is reactive and does not address the root cause.
References:
* Salesforce Einstein AI Specialist Certification Guide: Emphasizes using the Prompt Builder Scorecard to evaluate prompts and iterate based on results.
* Trailhead Module: "Einstein for Developers" highlights the scorecard as a critical tool for assessing prompt performance.
* Salesforce Help Documentation: Details the Scorecard's role in evaluating prompts against predefined criteria.
NEW QUESTION # 119
How should an organization use theEinstein Trust layer to audit,track, and view masked data?
- A. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.
- B. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.
- C. Access the audit trail in Setup and export all user-generated prompts.
Answer: A
Explanation:
TheEinstein Trust Layeris designed to ensure transparency, compliance, and security for organizations leveraging Salesforce's AI and generative AI capabilities. Specifically, for auditing, tracking, and viewing masked data, organizations can utilize:
* Audit Trail in Data Cloud: Theaudit trailcaptures and stores all prompts submitted to large language models (LLMs), ensuring that sensitive or masked data interactions are logged. This allows organizations to monitor and audit all AI-generated outputs, ensuring that data handling complies with internal and regulatory guidelines. TheData Cloudprovides the infrastructure for managing and accessing this audit data.
* Why not B?UsingPrompt Builderin Setup to send prompts to the LLM is for creating and managing prompts, not for auditing or tracking data. It does not interact directly with the audit trail functionality.
* Why not C?Although the audit trail can be accessed in Setup, the user-generated prompts are primarily tracked in the Data Cloud for broader control, auditing, and analysis. Setup is not the primary tool for exporting or managing these audit logs.
More information on auditing AI interactions can be found in theSalesforce AI Trust Layerdocumentation, which outlines how organizations can manage and track generative AI interactions securely.
NEW QUESTION # 120
What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?
- A. Generate details reports on all Copilot conversations over any time period.
- B. View the user click path that led to each copilot action.
- C. View session data including user Input and copilot responses for sessions over the past 7 days.
Answer: C
Explanation:
When the "Enrich event logs with conversation data" setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce AI Specialist References:You can refer to this documentation for further insights: https://help.
salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm
NEW QUESTION # 121
Universal Containers has a new AI project.
What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?
- A. The fields for the related list are based on the default page layout of the Account for the current user.
- B. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
- C. Prompt Builder must be used to assign the fields from the related list as a JSON format.
Answer: B
Explanation:
* Context of the QuestionUniversal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
* Prompt Builder Behavior
* Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
* Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.
* Why Option A is Correct
* Direct Alignment with the Standard Process: The recommended approach in Salesforce's documentation is to select a related list and then use the field picker to add the necessary fields into your AI prompt. This ensures the prompt has exactly the data you need from that related list.
* Why Not Option B (JSON Formatting)
* No Mandatory JSON Requirement: Although you can structure data as JSON if you desire advanced formatting, Prompt Builder does not require you to manually assign thefields from the related list in JSON. The platform automatically handles how the data is passed along in the background.
* Why Not Option C (Default Page Layout)
* Independent of Page Layout: Prompt Builder does not rely strictly on the default page layout for fields. You can configure the fields you want from the related list, independent of how the user's page layout is set up in the UI.
* ConclusionSince the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields,Option Ais the correct and verified answer.
Salesforce AI Specialist References & Documents
* Salesforce Official Documentation:Prompt Builder BasicsExplains how to reference objects and related lists when building AI prompts.
* Salesforce Trailhead:Get Started with Prompt BuilderProvides hands-on exercises demonstrating how to pick fields from related objects or lists.
* Salesforce AI Specialist Study GuideOutlines best practices for referencing related records and fields in generative AI prompts.
NEW QUESTION # 122
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template.
Which flow element should UC use?
- A. Add Flex Instructions
- B. Add Prompt Instructions
- C. Add Flow Instructions
Answer: C
Explanation:
* Context of the Question
* Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
* "Flex Prompt Templates" allow admins and AI Specialists to incorporate external or dynamic data into generative AI prompts.
* Why "Add Flow Instructions" Is Needed
* Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.
* Other Options:
* Add Flex Instructions: Typically controls how the AI responds or structures the output, not how to bring Flow data into the template.
* Add Prompt Instructions: Usually for static or manual instructions that shape the AI's response, rather than referencing dynamic data from the Flow.
* Outcome
* "Add Flow Instructions" ensures the prompt can dynamically use the data that the Flow returns- makingOption Ccorrect.
Salesforce AI Specialist References & Documents
* Salesforce Help & Training:Using Prompt Templates with FlowExplains how to pass Flow variables into a prompt template via a specialized step (e.g., "Flow Instructions").
* Salesforce AI Specialist Study GuideOutlines how to configure generative AI prompts that reference real-time Flow data.
NEW QUESTION # 123
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