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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic
Details

Topic 1

Generative AI in CRM Applications: This part of the exam assesses AI specialists’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.

Topic 2

Einstein Trust Layer: This section evaluates the skills of Salesforce AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.

Topic 3

Prompt Builder: This section evaluates the expertise of AI specialists working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.

Topic 4

Model Builder: This portion of the exam focuses on Salesforce AI specialists' expertise in working with AI models within Salesforce environments. Candidates will need to demonstrate knowledge of when to use the Model Builder and how to configure standard, custom, or Bring Your Own Large Language Model (BYOLLM) generative models to meet business needs.

Topic 5

Agentforce Tools: In this topic, AI specialists get knowledge using agents when it is appropriate. Moreover, the topic explains the working of agents and reasoning engine powers Agentforce. Lastly, the topic focuses on managing and monitoring agent adoption.

Salesforce Certified AI Specialist Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
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. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
B. Prompt Builder must be used to assign the fields from the related list as a JSON format.
C. The fields for the related list are based on the default page layout of the Account for the current user.

Answer: A

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 # 48
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy.
Which prompt template type should the AI Specialist recommend?

A. Record Summary
B. Sales Email
C. Field Generation

Answer: C

Explanation:
The correct answer is Field Generation because this template type is designed to dynamically populate form fields with content generated by a large language model (LLM). In this scenario, leadership wants a dynamic form field that contains a summary or description generated by AI to aid customer interactions. Additionally, they want to keep a human in the loop, meaning the generated content will likely be reviewed or edited by a person before it's finalized, which aligns with the Field Generation prompt template.
Field Generation: This prompt type allows you to generate content for specific fields in Salesforce, leveraging large language models to create dynamic and contextual information. It ensures that AI content is available within the record where needed, but it allows human oversight or review, supporting the "human-in-the-loop" strategy.
Sales Email: This prompt type is mainly used for generating email content for outreach or responses, which doesn't align directly with populating fields in a form.
Record Summary: While this option might seem close, it is typically used to summarize entire records for high-level insights rather than filling specific fields with dynamic content based on AI generation.
Salesforce AI Specialist Reference:
You can explore more about these prompt templates and AI capabilities through Salesforce documentation and official resources on Prompt Builder: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_templates_overview.htm

NEW QUESTION # 49
An AI Specialist turned on Einstein Generative AI in Setup. Now, the AI Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

A. The large language model (LLM) was not configured correctly in Data Cloud.
B. The Prompt Template Manager permission set was not assigned correctly.
C. The Prompt Template User permission set was not assigned correctly.

Answer: B

Explanation:
In order to access and create custom prompt templates in Prompt Builder, the AI Specialist must have the Prompt Template Manager permission set assigned. Without this permission, they will not be able to access Prompt Builder in the Setup menu, even though Einstein Generative AI is enabled.
Option B is correct because the Prompt Template Manager permission set is required to use Prompt Builder.
Option A (Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.
Option C (LLM configuration in Data Cloud) is unrelated to the ability to access Prompt Builder.
Reference:
Salesforce Prompt Builder Permissions: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_permissions.htm

NEW QUESTION # 50
An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the problem?

A. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
B. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
C. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.

Answer: B

Explanation:
When troubleshooting acopilot custom actionusing flow as the reference action type, enablingdynamic debuggingwithinCopilot Builder's Dynamic Panelis the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both theinputs and outputsof the flow, which helps identify where the action might be failing or not delivering the expected results.
* Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.
* Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.
Salesforce AI Specialist References:To explore more about dynamic debugging in Copilot Builder, see:
https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm

NEW QUESTION # 51
A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features.
Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation?

A. Call Explorer
B. Call Summary
C. Sales Summary

Answer: B

Explanation:
For a sales rep who may miss key details during long sales calls, the AI Specialist should recommend theCall Summaryfeature.Call SummaryusesEinstein Generative AIto automatically generate a concise summary of important points discussed during the call, helping the rep quickly review the key information they might have missed.
* Call Exploreris designed for manually searching through call data but doesn't summarize.
* Sales Summaryis focused more on summarizing overall sales activity, not call-specific content.
For more details, refer toSalesforce's Call Summary documentationon how AI-generated summaries can improve sales rep productivity.

NEW QUESTION # 52
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